{
  "total": 451,
  "topics": [
    {
      "id": 703887,
      "title": "Big Data Bowl Topic Used in Real World",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 125010,
      "title": "Competition Recap - Congrats to our Winners!",
      "comment_count": 32,
      "views": 0,
      "votes": 54
    },
    {
      "id": 112303,
      "title": "NFL Data Specific Tweaks & Inquiries",
      "comment_count": 91,
      "views": 0,
      "votes": 61
    },
    {
      "id": 111907,
      "title": "Welcome to the NFL's Big Data Bowl",
      "comment_count": 27,
      "views": 0,
      "votes": 43
    },
    {
      "id": 111918,
      "title": "New to NFL player tracking data? Here are a few hints",
      "comment_count": 53,
      "views": 0,
      "votes": 97
    },
    {
      "id": 111905,
      "title": "New to Machine Learning or Kaggle?",
      "comment_count": 24,
      "views": 0,
      "votes": 11
    },
    {
      "id": 111913,
      "title": "College student? You may be eligible for our Big Data Bowl subcontest",
      "comment_count": 6,
      "views": 0,
      "votes": 11
    },
    {
      "id": 114744,
      "title": "NFL Big Data - Interactive Playground analysis of train.csv ",
      "comment_count": 35,
      "views": 0,
      "votes": 121
    },
    {
      "id": 120375,
      "title": "What kind of effort did you make to make your script robust?",
      "comment_count": 18,
      "views": 0,
      "votes": 36
    },
    {
      "id": 338530,
      "title": "Presnap data",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 119400,
      "title": "1st place solution The Zoo",
      "comment_count": 124,
      "views": 0,
      "votes": 342
    },
    {
      "id": 111945,
      "title": "THE BEGINNERS GUIDE TO AMERICAN FOOTBALL: The Rules of AF - EXPLAINED! 🏈🏈🏈 ",
      "comment_count": 112,
      "views": 0,
      "votes": 173
    },
    {
      "id": 317596,
      "title": "Options to implement online learning using Keras",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 118438,
      "title": "t-SNE",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 115579,
      "title": "Visualizing cdf predictions",
      "comment_count": 1,
      "views": 0,
      "votes": 18
    },
    {
      "id": 119552,
      "title": "Private 21st - 1st Competition",
      "comment_count": 9,
      "views": 0,
      "votes": 22
    },
    {
      "id": 111993,
      "title": "Bayesian models",
      "comment_count": 21,
      "views": 0,
      "votes": 62
    },
    {
      "id": 213732,
      "title": "Capstone Project",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 143705,
      "title": "\"kaggle.competitions nflrush\" question",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 119291,
      "title": "Anyone use graph convolutional networks?",
      "comment_count": 17,
      "views": 0,
      "votes": 9
    },
    {
      "id": 177929,
      "title": "Single Row per Play",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 119430,
      "title": "Graph Transformer With Minimal FE, with code",
      "comment_count": 50,
      "views": 0,
      "votes": 122
    },
    {
      "id": 112044,
      "title": "Running back don't matter! Overview of NFL running play analytics",
      "comment_count": 7,
      "views": 0,
      "votes": 72
    },
    {
      "id": 118029,
      "title": "How to use a package containing tf v1?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 114326,
      "title": "The Dangers of Using RankGauss scaling before NN",
      "comment_count": 13,
      "views": 0,
      "votes": 19
    },
    {
      "id": 119314,
      "title": "2nd Private LB/ 3rd Public LB Solution - Transformer",
      "comment_count": 54,
      "views": 0,
      "votes": 93
    },
    {
      "id": 129121,
      "title": "Retrospective - Team WNYSAC - Top 11% with Heavy Feature Engineering and Extra Tree Classifier",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 124798,
      "title": "Final rerun is published",
      "comment_count": 25,
      "views": 0,
      "votes": 38
    },
    {
      "id": 124851,
      "title": "Private 13th place journey (pocket side)     ",
      "comment_count": 6,
      "views": 0,
      "votes": 27
    },
    {
      "id": 125405,
      "title": "AMA Interview with Comp Winners: \"The Zoo\", dott & Psi",
      "comment_count": 2,
      "views": 0,
      "votes": 12
    },
    {
      "id": 119381,
      "title": "Public 14th Solution - Transformer",
      "comment_count": 17,
      "views": 0,
      "votes": 49
    },
    {
      "id": 125411,
      "title": "AMA Interview about 14th Pos Sol: Russ Wolfinger | Chai Time Data Science",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 124999,
      "title": "Private 7th(Public 12th) solution&code with keras GCN library",
      "comment_count": 2,
      "views": 0,
      "votes": 16
    },
    {
      "id": 123071,
      "title": "Fourth week (NFL week 16) rerun is published!",
      "comment_count": 5,
      "views": 0,
      "votes": 17
    },
    {
      "id": 119885,
      "title": "4th Place (Public LB) Efforts",
      "comment_count": 11,
      "views": 0,
      "votes": 40
    },
    {
      "id": 125162,
      "title": "Private LB 37th Place Solution",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 119357,
      "title": "Public 5th place solution overview",
      "comment_count": 12,
      "views": 0,
      "votes": 62
    },
    {
      "id": 119361,
      "title": "Public LB 10th Place - NN vs. GBM",
      "comment_count": 12,
      "views": 0,
      "votes": 43
    },
    {
      "id": 119508,
      "title": "Public 8th place overview",
      "comment_count": 17,
      "views": 0,
      "votes": 35
    },
    {
      "id": 119650,
      "title": "List of Top 50 Public Solutions",
      "comment_count": 14,
      "views": 0,
      "votes": 33
    },
    {
      "id": 119433,
      "title": "7th place (public LB) solution : NN + Survival LGBM",
      "comment_count": 4,
      "views": 0,
      "votes": 33
    },
    {
      "id": 119383,
      "title": "Public LB 9th Place solution highlights",
      "comment_count": 10,
      "views": 0,
      "votes": 32
    },
    {
      "id": 119484,
      "title": "(not really) 2nd Public LB Solution",
      "comment_count": 12,
      "views": 0,
      "votes": 25
    },
    {
      "id": 120884,
      "title": "NFL Leaderboard Progression",
      "comment_count": 13,
      "views": 0,
      "votes": 38
    },
    {
      "id": 121199,
      "title": "Final leaderboard predictions (top 50)",
      "comment_count": 13,
      "views": 0,
      "votes": 17
    },
    {
      "id": 119487,
      "title": "Public LB 49th Solution",
      "comment_count": 9,
      "views": 0,
      "votes": 14
    },
    {
      "id": 123421,
      "title": "Big Data Bowl in the Wall Street Journal",
      "comment_count": 1,
      "views": 0,
      "votes": 10
    },
    {
      "id": 122221,
      "title": "Third week (NFL week 15) rerun is published",
      "comment_count": 5,
      "views": 0,
      "votes": 26
    },
    {
      "id": 122795,
      "title": "Going up (down)  in odd (even) weeks? (waiting for 4th to prove) ",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 120142,
      "title": "Rerunning the reruns",
      "comment_count": 222,
      "views": 0,
      "votes": 63
    },
    {
      "id": 120568,
      "title": "how a newbie got to public 19th place",
      "comment_count": 25,
      "views": 0,
      "votes": 48
    },
    {
      "id": 122079,
      "title": "Let's have some fun with our models!",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 121397,
      "title": "4th Place (Public/Private LB) Modeling Efforts",
      "comment_count": 3,
      "views": 0,
      "votes": 37
    },
    {
      "id": 121450,
      "title": "Rough Implementation of The Zoo's Model",
      "comment_count": 1,
      "views": 0,
      "votes": 27
    },
    {
      "id": 121886,
      "title": "\"Use for Final Score\" ignored?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 121301,
      "title": "Why private LB scores are much lower than public ones ?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 121529,
      "title": "Data Analysis for NFL Big Data Bowl",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 121287,
      "title": "Can shuffling players in a play help?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 119296,
      "title": "Amazing The Zoo",
      "comment_count": 2,
      "views": 0,
      "votes": 26
    },
    {
      "id": 120326,
      "title": "Validation Score for 2019 Nov. ",
      "comment_count": 37,
      "views": 0,
      "votes": 17
    },
    {
      "id": 116276,
      "title": "NFL Big Data Bowl - Players Analysis",
      "comment_count": 3,
      "views": 0,
      "votes": 21
    },
    {
      "id": 120962,
      "title": "Deleted",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 120177,
      "title": "Let's talk about NN",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 120593,
      "title": "Why doesn't Kaggle tell us the reasons for submission failure?",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 120427,
      "title": "Could we separate preprocessing from the modeling?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 120623,
      "title": "Can we calculate a Public LB score?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 120720,
      "title": "Why did kaggle run only my 2 most recent submissions and not the 2 I selected?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 119290,
      "title": "End of Stage 1, Updated Deadline",
      "comment_count": 19,
      "views": 0,
      "votes": 24
    },
    {
      "id": 119364,
      "title": "No Late Submission?",
      "comment_count": 10,
      "views": 0,
      "votes": 21
    },
    {
      "id": 119395,
      "title": "10th Place Sharing",
      "comment_count": 9,
      "views": 0,
      "votes": 39
    },
    {
      "id": 120205,
      "title": "Player momentum, Force and energy",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 119318,
      "title": "My solution was public from the beginning",
      "comment_count": 17,
      "views": 0,
      "votes": 32
    },
    {
      "id": 119331,
      "title": "No FE,just Embedding",
      "comment_count": 8,
      "views": 0,
      "votes": 29
    },
    {
      "id": 119299,
      "title": "Things that worked",
      "comment_count": 11,
      "views": 0,
      "votes": 40
    },
    {
      "id": 120163,
      "title": "Milliseconds in timestamps",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 119382,
      "title": "29th public - Am I the only one that approach this with regression?",
      "comment_count": 9,
      "views": 0,
      "votes": 23
    },
    {
      "id": 119295,
      "title": "How to hit a wall twice",
      "comment_count": 10,
      "views": 0,
      "votes": 42
    },
    {
      "id": 119461,
      "title": "25th Public LB, A great learning experience",
      "comment_count": 5,
      "views": 0,
      "votes": 21
    },
    {
      "id": 119330,
      "title": "Public 17th place overview",
      "comment_count": 4,
      "views": 0,
      "votes": 30
    },
    {
      "id": 119677,
      "title": "First possible Kaggle medal with Sequential Decision Tree Regressors",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 119301,
      "title": "30th Place Solution",
      "comment_count": 4,
      "views": 0,
      "votes": 27
    },
    {
      "id": 119329,
      "title": "The Most Important Thing... (50th Public LB Solution)",
      "comment_count": 4,
      "views": 0,
      "votes": 24
    },
    {
      "id": 119333,
      "title": "The \"Exploding LGBM\" idea that didn't make our final sub",
      "comment_count": 9,
      "views": 0,
      "votes": 18
    },
    {
      "id": 118970,
      "title": "Stage 2 Training Data, Reminder",
      "comment_count": 22,
      "views": 0,
      "votes": 23
    },
    {
      "id": 119230,
      "title": "Still searching for the magic",
      "comment_count": 35,
      "views": 0,
      "votes": 9
    },
    {
      "id": 119439,
      "title": "Public 35th Place Solution",
      "comment_count": 7,
      "views": 0,
      "votes": 16
    },
    {
      "id": 119336,
      "title": "Replicated Plays by creating features using time series...got 42 position",
      "comment_count": 8,
      "views": 0,
      "votes": 10
    },
    {
      "id": 119286,
      "title": "Are players/teams important?",
      "comment_count": 14,
      "views": 0,
      "votes": 4
    },
    {
      "id": 118344,
      "title": "Stuck Competitors Solidarity Thread",
      "comment_count": 18,
      "views": 0,
      "votes": 39
    },
    {
      "id": 118374,
      "title": "The shake of running time on cpu is too large!",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 119443,
      "title": "2d-CNN for sparse heatmap images and MLP (1st stage 45th, 2nd stage 42nd place)",
      "comment_count": 0,
      "views": 0,
      "votes": 17
    },
    {
      "id": 119326,
      "title": "Did anyone use acceleration as a feature?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 119348,
      "title": "Auto encoder-decoder with Target model in single NN",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 119475,
      "title": "Public LB 34th Solution Sharing",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 119674,
      "title": "A very simple implementation based on XGBoost",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 119289,
      "title": "Late Realizations",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 119285,
      "title": "Advice for the End of the Competition",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 119324,
      "title": "How much did time-based features improve your models?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 119264,
      "title": "All the best to all :)",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 119027,
      "title": "When to publish notebooks? ",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 119089,
      "title": "Question on stage 2 submission",
      "comment_count": 13,
      "views": 0,
      "votes": 1
    },
    {
      "id": 119323,
      "title": "Is there a way to test our \"submissions\" outside of the competition?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 119315,
      "title": "choosing models to submit past deadline",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 119302,
      "title": "It's 1:00 am UTC and my lowest CV yet just finished submitting",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 117579,
      "title": "Test robustness of your code",
      "comment_count": 6,
      "views": 0,
      "votes": 25
    },
    {
      "id": 118772,
      "title": "NFL Model Stacking",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 119117,
      "title": "Why linear models work?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 119248,
      "title": "Data leakage?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 118169,
      "title": "How do you think of the shakeup and how to survive it?",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 119044,
      "title": "I still can't believe there's a place on earth that NFL is more popular than US!",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 113698,
      "title": "My best features so far",
      "comment_count": 96,
      "views": 0,
      "votes": 212
    },
    {
      "id": 118417,
      "title": "Shall we use the season 2017?",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 119118,
      "title": "Error in YardLine helper function I've seen in notebooks?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 119132,
      "title": "Selecting Final Score Submissions",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 119004,
      "title": "How to use pandas to select a row satisfying the specified conditions",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 116759,
      "title": "What is your best single model ?",
      "comment_count": 54,
      "views": 0,
      "votes": 24
    },
    {
      "id": 119001,
      "title": "How to create a table to map out the distances between each player",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 118756,
      "title": "How important are voronoi related features to your score/leaderboard position?",
      "comment_count": 5,
      "views": 0,
      "votes": 5
    },
    {
      "id": 119098,
      "title": "How much buffer time others are leaving for phase 2. Please advice..",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 115578,
      "title": "Research of feature importance for different parameters of lgb",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 118570,
      "title": "5 days to finals and ... existing Kernels takes an eternity to be loaded",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 119109,
      "title": "Anyone can share a python Team sonars implement?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 118957,
      "title": "Unranked submitions after the 28th",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 118569,
      "title": "Is there a smarter/more efficient way to calculate team-level features?",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 111906,
      "title": "Looking for a Team Thread",
      "comment_count": 117,
      "views": 0,
      "votes": 9
    },
    {
      "id": 116101,
      "title": "Something is wrong with this data.(WindSpeed,WindDirection)_データがおかしい",
      "comment_count": 10,
      "views": 0,
      "votes": 32
    },
    {
      "id": 116860,
      "title": "Robust kernel for Stage 2",
      "comment_count": 35,
      "views": 0,
      "votes": 14
    },
    {
      "id": 118855,
      "title": "Can I use code from github?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 118705,
      "title": "New Erro",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 118739,
      "title": "Comparison of Orientations in 2017 and 2018",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 118333,
      "title": "Reminder - Deadline soon!",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 117970,
      "title": "Does model ensembling work in this comp?",
      "comment_count": 10,
      "views": 0,
      "votes": 7
    },
    {
      "id": 118680,
      "title": "Can we have access to specific libraries?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 118523,
      "title": "Augmentation",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 118437,
      "title": "Did any one used Target Encoding ?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 118496,
      "title": "Final submission",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 117759,
      "title": "Looking For Teammates~",
      "comment_count": 11,
      "views": 0,
      "votes": 0
    },
    {
      "id": 118549,
      "title": "R scripts failing - nflrush$make_env() SyntaxError: invalid syntax",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 117816,
      "title": "Target Encoding",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 118513,
      "title": "Kernel running time",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 118305,
      "title": "Slow evaluation",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 116933,
      "title": " Voronoi FE",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 117537,
      "title": "CDFs and CRPS with gradient boosting",
      "comment_count": 7,
      "views": 0,
      "votes": 13
    },
    {
      "id": 118264,
      "title": "External data source question",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 118315,
      "title": "Looking to team up !",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 118326,
      "title": "Parallelize Predictions for Submission",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 116237,
      "title": "My OOF error analysis is sponsored by Nike",
      "comment_count": 5,
      "views": 0,
      "votes": 35
    },
    {
      "id": 118136,
      "title": "Useful Metrics shows the Number of Unique values, frequency so we can decide what encoding can be used",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 117636,
      "title": "Orientation in Test Data",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 114256,
      "title": "The Zoo and Reza breaking sub 0.013",
      "comment_count": 33,
      "views": 0,
      "votes": 16
    },
    {
      "id": 117885,
      "title": "Is the target accurate?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 117783,
      "title": "How to install packages in kernel and submit the submission.csv file??",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 116576,
      "title": "Are you using Bayesian Deep Learning - Bayesian Neural Network?",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 115039,
      "title": "touchdown",
      "comment_count": 30,
      "views": 0,
      "votes": -2
    },
    {
      "id": 116639,
      "title": "Correlation between Distance to YardLine & Yards",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 118062,
      "title": "Kernel execution time when committing",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 118030,
      "title": "Will stage 2 test data be released?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 117380,
      "title": "About feature processing and model selection",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 117147,
      "title": "How to prepare a feature for embedding layer?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 117634,
      "title": "Time Since Last Run Play",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 117786,
      "title": "Climate Dataset for NFL Home Teams",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 117719,
      "title": "When we are at stage2",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 117850,
      "title": "Request - using external packages",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 116828,
      "title": "What models are you using ?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 117842,
      "title": "Interesting video on a team that never punts",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 117803,
      "title": "What Points should we care in this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 117795,
      "title": "Submission File",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 117723,
      "title": "How to get Keras working in R",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 116591,
      "title": "Classification or Regression on XGB,LightGBM?",
      "comment_count": 15,
      "views": 0,
      "votes": 7
    },
    {
      "id": 117425,
      "title": "Drop redundant classes",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 117633,
      "title": "Error while committing the file.",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 115431,
      "title": "Selecting relevant features??",
      "comment_count": 10,
      "views": 0,
      "votes": 14
    },
    {
      "id": 117422,
      "title": "nflscrapR (R Package for Scraping and Aggregating NFL Data)",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 117204,
      "title": "Team-up if these features improve your score (No target encoding)",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 117415,
      "title": "First time here",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 117392,
      "title": "How the dataset was separated",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 116797,
      "title": "Standardizing orientation",
      "comment_count": 11,
      "views": 0,
      "votes": 19
    },
    {
      "id": 114250,
      "title": "Anyone shared his gbm CRPS metric?",
      "comment_count": 17,
      "views": 0,
      "votes": 27
    },
    {
      "id": 113390,
      "title": "Past work with possible feature engineering suggestion",
      "comment_count": 8,
      "views": 0,
      "votes": 54
    },
    {
      "id": 116770,
      "title": "Well this is useful",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 117148,
      "title": "Double handoff",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 115706,
      "title": "Is lightgbm multiclass working for anyone??",
      "comment_count": 15,
      "views": 0,
      "votes": 7
    },
    {
      "id": 117154,
      "title": "The difference between the Dis vs Yards",
      "comment_count": 2,
      "views": 0,
      "votes": -1
    },
    {
      "id": 116856,
      "title": "Write a notebook for submission : how to read encrypted files ?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 115099,
      "title": "is online learning allowed?",
      "comment_count": 11,
      "views": 0,
      "votes": 19
    },
    {
      "id": 117127,
      "title": "Experiment in feature selection",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 116807,
      "title": "Selecting relevant features",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 111926,
      "title": "Rules clarification - is training a model with GPUs off Kaggle allowed? ",
      "comment_count": 9,
      "views": 0,
      "votes": 14
    },
    {
      "id": 116861,
      "title": "Will the kaggle kernel be updated for Tensorflow 2 for the private LB?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 116796,
      "title": "Linear correlation between features",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 115979,
      "title": "Q. Why everybody use NN, not LightGBM?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 114186,
      "title": "Potential podcast of interest",
      "comment_count": 5,
      "views": 0,
      "votes": 22
    },
    {
      "id": 116936,
      "title": "Implementing linemen's performance ",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 115637,
      "title": "Noob questions",
      "comment_count": 13,
      "views": 0,
      "votes": 33
    },
    {
      "id": 116435,
      "title": "Do you have a good way for feature selection？",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 116578,
      "title": "Dimension mismatch issue between train & test",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 116493,
      "title": "Continuous Ranked Probability Score (CRPS)",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 116508,
      "title": "Will we have access to 2019 yards feature leading up to the games we predict?",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 112868,
      "title": "Keras CRPS custom metric",
      "comment_count": 9,
      "views": 0,
      "votes": 13
    },
    {
      "id": 112025,
      "title": "How to deal with custom package ?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 113097,
      "title": "Using R is now supported",
      "comment_count": 26,
      "views": 0,
      "votes": 33
    },
    {
      "id": 116543,
      "title": "Code requirements",
      "comment_count": 2,
      "views": 0,
      "votes": 0
    },
    {
      "id": 111910,
      "title": "Confession",
      "comment_count": 25,
      "views": 0,
      "votes": 23
    },
    {
      "id": 115661,
      "title": "NFL Rules 2019",
      "comment_count": 6,
      "views": 0,
      "votes": 12
    },
    {
      "id": 116198,
      "title": "How To Transform to CPD",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 113277,
      "title": "Standardizing S by Season",
      "comment_count": 35,
      "views": 0,
      "votes": 43
    },
    {
      "id": 116315,
      "title": "Implementing Voronoi Regions in R",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 116374,
      "title": "Issue installing github package",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 114890,
      "title": "Is it Football or Handegg?",
      "comment_count": 18,
      "views": 0,
      "votes": 36
    },
    {
      "id": 112460,
      "title": "A GBDT Package Incorporates CDF prediction",
      "comment_count": 17,
      "views": 0,
      "votes": 23
    },
    {
      "id": 115792,
      "title": "Implementing rushing player's tier",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 115305,
      "title": "Multiple QB per PlayID, data error ? or sneaky strategy ?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 115613,
      "title": "FORCE->>>>>>",
      "comment_count": 11,
      "views": 0,
      "votes": 8
    },
    {
      "id": 114707,
      "title": "Business value of the models",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 114081,
      "title": "Adding Voronoi features didn't change my score",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 115644,
      "title": "NFL Glossary (for french speakers ;) )",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 116110,
      "title": "Blending allow?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 116111,
      "title": "how to deal with orientation of 2017",
      "comment_count": 10,
      "views": 0,
      "votes": 1
    },
    {
      "id": 116227,
      "title": "Why won't it let me submit the file?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 112610,
      "title": "A basic question : X vs Yards",
      "comment_count": 9,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112207,
      "title": "When will train.csv be updated prior to stage2 ?",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 114031,
      "title": "R Tensorflow Error",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 115938,
      "title": "Just curious?will time serious feature against the rule of compete?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 116015,
      "title": "SARIMAX",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 115361,
      "title": "Kaggle Kernel Tensorflow Memory Leak",
      "comment_count": 13,
      "views": 0,
      "votes": 3
    },
    {
      "id": 115802,
      "title": "Fumbles from rushing plays: yards gained?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 115969,
      "title": "This is my understanding of the data. I hope it can help you",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 115627,
      "title": "How to reproduce same score with each kfold",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 115338,
      "title": "Does anyone find a good, aligned CV strategy? ",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 113384,
      "title": "Orientation looks shifted by 90 in 2017?",
      "comment_count": 10,
      "views": 0,
      "votes": 27
    },
    {
      "id": 114901,
      "title": "Embeddings",
      "comment_count": 9,
      "views": 0,
      "votes": 17
    },
    {
      "id": 115818,
      "title": "JERSEY NUMBERS - can they be ignored",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 115696,
      "title": "Request to increase code run time for submission",
      "comment_count": 4,
      "views": 0,
      "votes": -2
    },
    {
      "id": 115372,
      "title": "Is there any good pythonic way to clean the data?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 115747,
      "title": "First time using XGBoost, at a loss",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 115564,
      "title": "orderliness of discussions",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 112596,
      "title": "🏈 Best Single Model ",
      "comment_count": 84,
      "views": 0,
      "votes": 47
    },
    {
      "id": 115101,
      "title": "Laplace's Demon not just a made-up name",
      "comment_count": 19,
      "views": 0,
      "votes": 2
    },
    {
      "id": 115463,
      "title": "Definition of running play",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 114533,
      "title": "how to use tf1 in kernel?",
      "comment_count": 8,
      "views": 0,
      "votes": 3
    },
    {
      "id": 115260,
      "title": "Voronoi diagrams and controlled regions",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 115176,
      "title": "Distribution modeling cross validation - what's wrong?",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 114836,
      "title": "Need advice on why model was performing bad",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 115385,
      "title": "Cumulative Probability Distributions",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 115287,
      "title": "Custom time split for validation",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 114002,
      "title": "Is JVM kernel for Java or Scala supported?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 114709,
      "title": "Can anybody clarify the meaning of the players roles?",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 113689,
      "title": "Direction",
      "comment_count": 10,
      "views": 0,
      "votes": 36
    },
    {
      "id": 114691,
      "title": "How to go about validation?",
      "comment_count": 18,
      "views": 0,
      "votes": 5
    },
    {
      "id": 112468,
      "title": "Plays as single rows?",
      "comment_count": 25,
      "views": 0,
      "votes": 25
    },
    {
      "id": 115191,
      "title": "help needed!",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 114891,
      "title": "Datetime faster pandas conversion",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 115230,
      "title": "Proper workflow without session restart",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 115013,
      "title": "Doubt about OffensePersonnel",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 111917,
      "title": "Past Competitions that Used CRPS Metric",
      "comment_count": 6,
      "views": 0,
      "votes": 33
    },
    {
      "id": 113861,
      "title": "Another way to validate models for NFL competition",
      "comment_count": 21,
      "views": 0,
      "votes": 47
    },
    {
      "id": 115173,
      "title": "Is there a way to save and load the model?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 114370,
      "title": "Significance test",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 114742,
      "title": "Check Position",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 112621,
      "title": "MAE as objective",
      "comment_count": 21,
      "views": 0,
      "votes": 57
    },
    {
      "id": 112018,
      "title": "Is it possible to use custom packages without internet/external data?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 114063,
      "title": "Help to improve",
      "comment_count": 20,
      "views": 0,
      "votes": 23
    },
    {
      "id": 114810,
      "title": "CRPS as loss function",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112371,
      "title": "Using the kaggle.competitions.nflrush module locally?",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 114589,
      "title": "Please freeze the docker images during (kernel) competitions",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 114876,
      "title": "Does target encoding working for anyone?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 114852,
      "title": "QB Rushing attempts",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 114688,
      "title": "Why are everyone using keras??",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 114775,
      "title": "How can I look at the whole Test data?",
      "comment_count": 8,
      "views": 0,
      "votes": -1
    },
    {
      "id": 114687,
      "title": "<0.013 in one shot!",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 114932,
      "title": "Different X, Y, S, A for the same PlayId",
      "comment_count": 2,
      "views": 0,
      "votes": -3
    },
    {
      "id": 112423,
      "title": "\"TimeSnap\"  and  \"TimeHandoff\"",
      "comment_count": 20,
      "views": 0,
      "votes": 13
    },
    {
      "id": 114700,
      "title": "Tool to compose kernels from separate files",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 114075,
      "title": "Why is NFL rushing so great?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 113969,
      "title": "A paper on weather impact for rushing plays",
      "comment_count": 9,
      "views": 0,
      "votes": 18
    },
    {
      "id": 114201,
      "title": "Keras vs Pytorch training time",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 114613,
      "title": "Funny football comic",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 114574,
      "title": " Timeout waiting for IOPub output......",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 114519,
      "title": "Is it possible to have additional data about coaches ???",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 114446,
      "title": "Preprocessing time for test set taking too long?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 114541,
      "title": "How Regularisation might help",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 114522,
      "title": "Is it possible rusher's X is less than 10 or over 110??",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 112681,
      "title": "Cleaning the Turf. Improve score by 0.0002",
      "comment_count": 27,
      "views": 0,
      "votes": 82
    },
    {
      "id": 114065,
      "title": "Is anyone treating this problem as an image recognition problem?",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 114016,
      "title": "Requesting clarification about using models trained offline",
      "comment_count": 2,
      "views": 0,
      "votes": 14
    },
    {
      "id": 113863,
      "title": "Offence and Defense position group mapping",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 113377,
      "title": "How long is your kernel runtime? (Frustrations with \"code competition\")",
      "comment_count": 23,
      "views": 0,
      "votes": 16
    },
    {
      "id": 112691,
      "title": "Vectorized CRPS",
      "comment_count": 11,
      "views": 0,
      "votes": 23
    },
    {
      "id": 113882,
      "title": "Can we use statistics of the players ?",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 113819,
      "title": "May be we should check more before standardize",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 112068,
      "title": "Paper explaining Continuous Ranked Probability Score (CRPS)",
      "comment_count": 8,
      "views": 0,
      "votes": 21
    },
    {
      "id": 114348,
      "title": "don't use label encoder",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 112846,
      "title": "Why so many neural networks starter notebooks?",
      "comment_count": 17,
      "views": 0,
      "votes": 14
    },
    {
      "id": 113609,
      "title": "How do we handle fumbles with no handoff?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 114136,
      "title": "Range of predicted yards",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 113977,
      "title": "Important observation `Yards` v/s 'YardLine` ",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 114181,
      "title": "Is it possible to recover a commited kernel?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 113905,
      "title": "Why NN doing well here, but not as much for IEEE Fraud?",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 113899,
      "title": "Features idea (VIP Hint by Michael Lopez)",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 114137,
      "title": "The person who handoffs the ball to runner",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 113787,
      "title": "The number of NflId not equal to DisplayName?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 113618,
      "title": "Wind Direction",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 113653,
      "title": "When and what will happen in stage?",
      "comment_count": 10,
      "views": 0,
      "votes": 6
    },
    {
      "id": 113897,
      "title": "Player Heights",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112812,
      "title": "Direction and orientation",
      "comment_count": 33,
      "views": 0,
      "votes": 31
    },
    {
      "id": 113750,
      "title": "Failing to submit...",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112173,
      "title": "The Meaning of the Jersey Number",
      "comment_count": 14,
      "views": 0,
      "votes": 54
    },
    {
      "id": 112940,
      "title": "Data Cleaning about Stadium",
      "comment_count": 7,
      "views": 0,
      "votes": 7
    },
    {
      "id": 113489,
      "title": "Position abbreviations",
      "comment_count": 7,
      "views": 0,
      "votes": 10
    },
    {
      "id": 114103,
      "title": "What do you think about shakeup?",
      "comment_count": 0,
      "views": 0,
      "votes": -2
    },
    {
      "id": 111989,
      "title": "Can we use R?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 113605,
      "title": "Help to organize the code",
      "comment_count": 1,
      "views": 0,
      "votes": 11
    },
    {
      "id": 113509,
      "title": "Why do I see people using Mean Squared Error as the loss?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 113534,
      "title": "Wind Direction decoder",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 113733,
      "title": "Failing to submit file",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 113782,
      "title": "Error analysis - LGB extrapolation problem?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 113471,
      "title": "How to Lose Over Twenty Yards in a Running Play",
      "comment_count": 7,
      "views": 0,
      "votes": 8
    },
    {
      "id": 111948,
      "title": "CPU run time limits",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 113552,
      "title": "Need a Football freak for a team mate",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 113575,
      "title": "Meaning of 'DIS'",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112859,
      "title": "Fast Distance to Ball Calculation?",
      "comment_count": 10,
      "views": 0,
      "votes": 10
    },
    {
      "id": 113718,
      "title": "kaggle newbie question",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 113793,
      "title": "Results always change & No internet access enabled?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 113743,
      "title": "Question about the rules",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 113695,
      "title": "Are some of the yard lines off?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 111953,
      "title": "To be risky or not?",
      "comment_count": 6,
      "views": 0,
      "votes": 11
    },
    {
      "id": 113684,
      "title": "How to import and use nflrush module?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 113664,
      "title": "Does anyone try to ensemble different models in this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 113306,
      "title": "LightGBM Python API vs Scikit-Learn API",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 113327,
      "title": "Question about private LB evaluation",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 113067,
      "title": "What is the meaning of DefendersInTheBox",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 111934,
      "title": "Is Python a Requirement?",
      "comment_count": 24,
      "views": 0,
      "votes": 23
    },
    {
      "id": 111958,
      "title": "Must I use a Kaggle kernel ? Can I run setup on my PC ??",
      "comment_count": 13,
      "views": 0,
      "votes": 7
    },
    {
      "id": 113402,
      "title": "FieldPosition meaning and missing values",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 113272,
      "title": "Incomplete data!",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112991,
      "title": "Sigmoid vs. Softmax",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 113488,
      "title": "PlaysID Memory Question",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 113426,
      "title": "How to tickle OffenseFormation?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 113358,
      "title": "Running the Test env locally?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 113357,
      "title": "Flipping the direction",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112510,
      "title": "Understanding \"Dir\" and \"Orientation\"",
      "comment_count": 11,
      "views": 0,
      "votes": 14
    },
    {
      "id": 113248,
      "title": "Said the SOTA activation function",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 113397,
      "title": "R notebook taking too long (1hour+)?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 113325,
      "title": "Yards and YardLine",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 113309,
      "title": "Make best use of a Kernel's limited uptime (Keras)",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 113356,
      "title": "Data Augmentation?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 113344,
      "title": "Need some help on data columns",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 112877,
      "title": "Do these directions and orientations look correct?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 111936,
      "title": "Is football \"common sense\" counted as external data?",
      "comment_count": 7,
      "views": 0,
      "votes": 8
    },
    {
      "id": 112919,
      "title": "Neural Networks history plot (Keras)",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 112997,
      "title": "Understand the data with a single play",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 112902,
      "title": "Use of other NFL Big Data Bowl in other reporting platform",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 113225,
      "title": "Newbie Question ",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 112816,
      "title": "Can we use test set?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 113057,
      "title": "Engineering features with data from other plays from that specific game",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 113156,
      "title": "New EDA and DL architecture for NFL challenge (Conv1D)",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 113155,
      "title": "How to understand StadiumType feature",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 112588,
      "title": "The meaning of abbreviations for player positions",
      "comment_count": 2,
      "views": 0,
      "votes": 14
    },
    {
      "id": 113043,
      "title": "What is your best MAE?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 113113,
      "title": "A basic question about predictions",
      "comment_count": 3,
      "views": 0,
      "votes": 0
    },
    {
      "id": 112799,
      "title": "Some video introduction to NFL ",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 113052,
      "title": "Are we solving the right problem?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 112673,
      "title": "Converting object column to multiple columns",
      "comment_count": 9,
      "views": 0,
      "votes": 0
    },
    {
      "id": 112282,
      "title": "R Starter Notebook?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112835,
      "title": "Is it possible to calculate the current score of each game?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112987,
      "title": "Tip: Same kernel for using preprocessed/external data while exploring, then committing without data",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112104,
      "title": "Error while committing",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112166,
      "title": "Some ideas around when it's really important to gain yards in the NFL",
      "comment_count": 7,
      "views": 0,
      "votes": 14
    },
    {
      "id": 112572,
      "title": "Videos Explaining Different Handoffs, Quarterback Handoffs, Snaps, Ballhandling",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 111909,
      "title": "Finally new ML challenge",
      "comment_count": 12,
      "views": 0,
      "votes": 24
    },
    {
      "id": 112395,
      "title": "Continued : THE BEGINNERS GUIDE TO AMERICAN FOOTBALL",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 111911,
      "title": "Why no GPUs allowed?",
      "comment_count": 13,
      "views": 0,
      "votes": 15
    },
    {
      "id": 112386,
      "title": "Interpreting CRPS",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 112543,
      "title": "Does that mean we can't use validation methods like adverarial one?",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112050,
      "title": "Wind direction",
      "comment_count": 5,
      "views": 0,
      "votes": 13
    },
    {
      "id": 112534,
      "title": "How to open a specific kernel version??",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 112861,
      "title": "Obtaining video/gif of play for a given playid",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112729,
      "title": "YardLine Variable",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112467,
      "title": "Any idea about this issue?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112730,
      "title": "Missing values in player/team features",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112714,
      "title": "Is it possible to use \"nlfrush\" package under Windows?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112828,
      "title": "Strategies for the output",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112023,
      "title": "Why do I get 65/62?",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 111972,
      "title": "Football rules that individuals might find useful !",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 112785,
      "title": "Can I access my train DataFrame at stage 2?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 112083,
      "title": "New to Data Science, best site(s) to learn on?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 112770,
      "title": "What is the best slope?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112236,
      "title": "Query about column 'PossessionTeam'",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 112314,
      "title": "How to know  offense and defense's by using Team feature ..?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 112074,
      "title": "Nice start! 🏆",
      "comment_count": 5,
      "views": 0,
      "votes": 17
    },
    {
      "id": 112718,
      "title": "Iterator on test set does not work",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 112598,
      "title": "Error in Submission",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 112246,
      "title": "Data Clarification : Distance vs Dis vs Yards",
      "comment_count": 9,
      "views": 0,
      "votes": 4
    },
    {
      "id": 112139,
      "title": "Game ID and Play ID",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 112688,
      "title": "NflID and NflRusherId?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 112003,
      "title": "If a person didn't have experience on last year competition. ",
      "comment_count": 11,
      "views": 0,
      "votes": 17
    },
    {
      "id": 112275,
      "title": "Team abbreviations vary for a same team",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 112028,
      "title": "Regression or Classification ?",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 112535,
      "title": "Additional information about players?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112375,
      "title": "Can anyone explain what we are supposed to be predicting exaclty? thanks in advance",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112459,
      "title": "Kaggle Kernels always disconnecting ...",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112516,
      "title": "Position feature in data but not in data description",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 111951,
      "title": "Can't seem to merge teams",
      "comment_count": 10,
      "views": 0,
      "votes": 5
    },
    {
      "id": 112255,
      "title": "Target Variable *Yards* 🏈🏈🏈 If you will use linear models",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 112405,
      "title": "position column",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 112427,
      "title": "Is R a requirement?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112000,
      "title": "Must see material + External data clarification",
      "comment_count": 4,
      "views": 0,
      "votes": 16
    },
    {
      "id": 112368,
      "title": "Using CRPS as a metric",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112446,
      "title": "Kernel issue",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 111935,
      "title": "What moment during the play is the X, Y data provided?",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 112048,
      "title": "Winning papers from last year's Big Data Bowl",
      "comment_count": 1,
      "views": 0,
      "votes": 8
    },
    {
      "id": 112461,
      "title": "CRPS code giving me negative error",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 111986,
      "title": "Playoffs are excluded but...",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 112205,
      "title": "Why yards is an integer (whole number)?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112381,
      "title": "You can only call make_env() once, so don't lose it",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 111967,
      "title": "Consolidated Links (for Dummies)",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 111912,
      "title": "first kaggle competition",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 111916,
      "title": "2018 Kaggle/NFL competition with similar data",
      "comment_count": 1,
      "views": 0,
      "votes": 18
    },
    {
      "id": 111965,
      "title": "Looking for team",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 112253,
      "title": "NFL Big Data Bowl Notebook Series",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 111943,
      "title": "Can We Get to Predict The Number of Home Runs As Well?",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 112127,
      "title": "Features Correlation 🏈🏈🏈",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 112268,
      "title": "Video of GameId 2017121709",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112161,
      "title": "I want to identify who is a running back conveying the ball.",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112097,
      "title": "What do negative values in `Yards` feature mean?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112157,
      "title": "Do we have ball position this year?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112308,
      "title": "Module Not found...!!!!",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 111924,
      "title": "Hungry Kagglers",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 112278,
      "title": "No Ball Position Data 🏈🏈🏈",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 112037,
      "title": "Train set correlations",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 112182,
      "title": "Switching sides",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 111997,
      "title": "External data",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 112073,
      "title": "Is it good to play in a climate controlled or indoor field?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112195,
      "title": "Total Distance Covered per Play by RB",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 112046,
      "title": "Record-tying run in the dataset!",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 111973,
      "title": "NFL official rules of the game",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 111962,
      "title": "When will we have a competition about football? I mean the real football,which is called soccer in USA",
      "comment_count": 7,
      "views": 0,
      "votes": -10
    },
    {
      "id": 112121,
      "title": "is it ok to use R?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112062,
      "title": "What to do? For beginners!",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112124,
      "title": "NFL - global problem",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 112086,
      "title": "How to do version control in kernels?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 112087,
      "title": "How is second phase of competition evaluated.",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 111946,
      "title": "Understanding NFL",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 112063,
      "title": "Is there any problem joining a competition and not submitting any model?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 112040,
      "title": "Team building",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 112035,
      "title": "Visualize the animated plays as gif",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 112006,
      "title": "fastai version incompatibility for Machine Learning",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 112002,
      "title": "rules clarification",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 111931,
      "title": "I'd like to know the rules for the NFL.",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 111927,
      "title": "Iteration Order",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 111923,
      "title": "Data Dictionary",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}