{
  "total": 163,
  "topics": [
    {
      "id": 41535,
      "title": "Welcome!",
      "comment_count": 17,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 41937,
      "title": "Welcome from Corporación Favorita",
      "comment_count": 7,
      "views": 0,
      "votes": 24,
      "reused": true
    },
    {
      "id": 47596,
      "title": "Special Ecuadorian Local Prize",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 41537,
      "title": "External Data Thread",
      "comment_count": 29,
      "views": 0,
      "votes": 23,
      "reused": true
    },
    {
      "id": 47582,
      "title": "1st place solution",
      "comment_count": 36,
      "views": 0,
      "votes": 191,
      "reused": true
    },
    {
      "id": 398041,
      "title": "UnicodeDecodeError: 'utf-8' codec can't decode byte 0xbc in position 2: invalid start byte",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 47556,
      "title": "5th Place Solution",
      "comment_count": 9,
      "views": 0,
      "votes": 64,
      "reused": true
    },
    {
      "id": 289031,
      "title": "how to load the data of the contest en google colab or similar",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 47124,
      "title": "log1p transformation? why?",
      "comment_count": 8,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 151530,
      "title": "How do I unzip the 7z files in a kernal?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 160262,
      "title": "why the data is zip file now ?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 152304,
      "title": "Benchmark Accuracy",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 44174,
      "title": "xLearn - High-Performance and Scalable Machine Learning Package",
      "comment_count": 1,
      "views": 0,
      "votes": -12,
      "reused": true
    },
    {
      "id": 116651,
      "title": "DT (xgb & lgb) and NN on Time Series",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 90883,
      "title": "How to unzip train.csv.7z file on google colab ?",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 47667,
      "title": "12th place solution",
      "comment_count": 4,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 47603,
      "title": "my 10 day journey in this competition and solution sharing",
      "comment_count": 44,
      "views": 0,
      "votes": 44,
      "reused": true
    },
    {
      "id": 47537,
      "title": "A silver solution(33rd)",
      "comment_count": 2,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 92076,
      "title": "data privacy",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 74092,
      "title": ".7z files",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 50836,
      "title": "ERROR: Expected 'id' column to be of type 'Int32', but was 'String'",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 80732,
      "title": "Overfitting train - Reasons behind massive difference in LB vs CV",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 75055,
      "title": "How calculate the correlations between Interval variables and categorical variables  in Python",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 72454,
      "title": "Statistical methods over Machine/Deep Learning approaches",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 47544,
      "title": "Top Solutions",
      "comment_count": 5,
      "views": 0,
      "votes": 41,
      "reused": true
    },
    {
      "id": 47185,
      "title": "Simple 4-feature Neural Network for LB .547",
      "comment_count": 12,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 41793,
      "title": "Some information about Ecuador",
      "comment_count": 3,
      "views": 0,
      "votes": 45,
      "reused": true
    },
    {
      "id": 46207,
      "title": "Using zipped file on Kaggle Kernels",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 42478,
      "title": "How to view the data?",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 54505,
      "title": "Temporal Causal Modeling (Granger cause)",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 47560,
      "title": "3rd place solution overview",
      "comment_count": 7,
      "views": 0,
      "votes": 26,
      "reused": true
    },
    {
      "id": 41648,
      "title": "Looking for a Python Coder. I will bring the stats, problem solving and business experience",
      "comment_count": 8,
      "views": 0,
      "votes": -3,
      "reused": true
    },
    {
      "id": 44804,
      "title": "Validation score and Public Leaderboard don't match ",
      "comment_count": 38,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 47568,
      "title": "2nd place solution overview",
      "comment_count": 10,
      "views": 0,
      "votes": 46,
      "reused": true
    },
    {
      "id": 47749,
      "title": "preliminary LB 16th solution——Self-examination of a violator",
      "comment_count": 4,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 47564,
      "title": "8th solution",
      "comment_count": 29,
      "views": 0,
      "votes": 34,
      "reused": true
    },
    {
      "id": 47834,
      "title": "Introductory Tutorial on Time Series",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 47529,
      "title": "4th-Place Solution Overview",
      "comment_count": 45,
      "views": 0,
      "votes": 112,
      "reused": true
    },
    {
      "id": 47641,
      "title": "On public LB",
      "comment_count": 10,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 47775,
      "title": "Lesson not learned?",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 47609,
      "title": "443 steps jump in one night!",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 47622,
      "title": "Source Code",
      "comment_count": 10,
      "views": 0,
      "votes": 43,
      "reused": true
    },
    {
      "id": 47524,
      "title": "Crazy finish",
      "comment_count": 20,
      "views": 0,
      "votes": 22,
      "reused": true
    },
    {
      "id": 47326,
      "title": "Incredible score path - Shize Su!",
      "comment_count": 10,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 47535,
      "title": "A single Lightgbm model with 0.515 private score",
      "comment_count": 5,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 47575,
      "title": "6th Place Solution Overview",
      "comment_count": 3,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 47578,
      "title": "SPECIAL LOCAL - Ecuador",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 47562,
      "title": "the reason for shaking up",
      "comment_count": 2,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 47554,
      "title": "18th Place Solution - Simple Improvement of Public Kernel",
      "comment_count": 1,
      "views": 0,
      "votes": 23,
      "reused": true
    },
    {
      "id": 47528,
      "title": "incredible score!",
      "comment_count": 15,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 47567,
      "title": "34th place solution",
      "comment_count": 1,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 47548,
      "title": "Congratulations to the Winners!",
      "comment_count": 8,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 47545,
      "title": "Leak from the future",
      "comment_count": 1,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 47526,
      "title": "Open kernel----LGB starter",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 47559,
      "title": "Medals",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 47542,
      "title": "13th place solution",
      "comment_count": 5,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 47546,
      "title": "Sharing solutions thread",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 47531,
      "title": "Shake-up is the opportunity to grow!",
      "comment_count": 5,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 47487,
      "title": "Sharing solutions thread",
      "comment_count": 2,
      "views": 0,
      "votes": -8,
      "reused": true
    },
    {
      "id": 46346,
      "title": "A big shake-up",
      "comment_count": 42,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 42964,
      "title": "Question about unseen items in test set",
      "comment_count": 19,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 47169,
      "title": "Shall we make predication for each (store, item) separately?",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 46915,
      "title": "Is this the right metric to evaluate the forecast?",
      "comment_count": 15,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 43390,
      "title": "Prophet vs NNs",
      "comment_count": 46,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 45226,
      "title": "did anyone apply LSTM",
      "comment_count": 9,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 46917,
      "title": "Best score without an ensemble?",
      "comment_count": 14,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 47129,
      "title": "City <-> State (Provincia) Mapping",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 47101,
      "title": "Looking for teammates",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 47106,
      "title": "local cv compared with public score",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 47086,
      "title": "Last minute team up",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 47061,
      "title": "Last minute teammate ?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 45821,
      "title": "Team mate required",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47038,
      "title": "Lookin for a cooperation",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 47000,
      "title": "Log transformations causing under-forecasting",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 42642,
      "title": "Wisdom of including oil price dataset",
      "comment_count": 10,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 43239,
      "title": "Kernel dies when merging train and items data",
      "comment_count": 6,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 46828,
      "title": "Last minute teammate(s)?",
      "comment_count": 15,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 46515,
      "title": "Looking for teammate",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 46291,
      "title": "feature selection from ensemble tree model",
      "comment_count": 10,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 45846,
      "title": "Looking for a team or teammates",
      "comment_count": 5,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 46838,
      "title": "Looking for teammate",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 46654,
      "title": "Interesting Article on Applying Deep Learning to Time Series Forecasting with TensorFlow by MAPR",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 46305,
      "title": "Surprised to see only few Time Series kernels",
      "comment_count": 3,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 46709,
      "title": "moving average method",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 46705,
      "title": "How does your LogMA method perform?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 42577,
      "title": "How does final submission work?",
      "comment_count": 6,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 45354,
      "title": "How important is external data?",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 45442,
      "title": "Leader board validation percentage",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 46015,
      "title": "Looking for a team mate or a team, R only - Beginner level",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 45766,
      "title": "autoencoder for  categorical vector?",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 45993,
      "title": "createTimeSlices in R looking for similar function in python ",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 45866,
      "title": "One Hot Encoding While Reading in Chunks",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 45563,
      "title": "The danger of far out-of-sample time series forecasts",
      "comment_count": 3,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 41680,
      "title": "Is it a bad idea to implement it in a neural network?",
      "comment_count": 6,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 45859,
      "title": "Questions about the PB leaderboard (‘Last’ column and ranking change before deadline)",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 44426,
      "title": "Data Cleaning",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 45424,
      "title": "Partially reading the Train Data set ",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 45836,
      "title": "I am unable to view script code. Is it the same for others?",
      "comment_count": 7,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 45818,
      "title": "Using sample statistics as predictors",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 45463,
      "title": "Scaling Categorical Features with the rest of the dataset.",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 41574,
      "title": "Dealing with large dataset",
      "comment_count": 29,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 45621,
      "title": "negative unit_sales in training data???",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 45452,
      "title": "Evaluation Exception: Stream was not readable????",
      "comment_count": 2,
      "views": 0,
      "votes": -1,
      "reused": true
    },
    {
      "id": 41559,
      "title": "Negative sales ",
      "comment_count": 9,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 43405,
      "title": "How large memory is enough?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 44221,
      "title": "Important limitation of the data",
      "comment_count": 24,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 45061,
      "title": "Spark notebooks",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 44962,
      "title": "Rule clarification",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 44927,
      "title": "Can I use other than the kernels listed here like Matlab or SPSS or SYSSTAT or SAS?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 44874,
      "title": "Using NWRMSLE as eval_metric on XGBoost?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 42170,
      "title": "NWRMSLE & XGBoost eval_metric",
      "comment_count": 15,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 44755,
      "title": "Forecast Horizon & Time frequency (Daily or weekly)",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 42948,
      "title": "MA for each day - LB 0.537",
      "comment_count": 1,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 44708,
      "title": "Understanding of Transactions file",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 44482,
      "title": "Moving Average: How to deal with NA MA values",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 44453,
      "title": "Error in `python': free(): invalid pointer: 0x00007f07e35526be",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 44013,
      "title": "ARIMA results not as good as simple MA?",
      "comment_count": 6,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 43079,
      "title": "Validation strategy - Any suggestion is welcome",
      "comment_count": 8,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 44233,
      "title": "Train \"OnPromotion\" values are all NA",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 43907,
      "title": "Just August data in the test csv",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 43369,
      "title": "Need Mentor for first Submission",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 42694,
      "title": "Cross Validation (CV), Creating Model Strategy",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 44047,
      "title": "NWRMSLE into Percentage Error",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 43115,
      "title": "Huge Gaps on Items",
      "comment_count": 7,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 41728,
      "title": "New to Machine Learning looking for a team to learn more and explore",
      "comment_count": 7,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 43768,
      "title": "xgboost custome objective function",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 43810,
      "title": "Item_nbr not seen before in the training dataset",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 43539,
      "title": "Supportive Data Preprocess within Low Memory Configuration",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 42077,
      "title": "Transactions ?",
      "comment_count": 10,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 43083,
      "title": "Stock data",
      "comment_count": 4,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 43241,
      "title": "Looking for mentor ",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 43113,
      "title": "Wavelet Analysis",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 42826,
      "title": "Found an Interesting kernal similar to this competition!!!",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 42808,
      "title": "Test set have store_item combinations which don't appear in Train set ",
      "comment_count": 3,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 42993,
      "title": "Missing Values for onpromotion (RevoScaleR)",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 42883,
      "title": "Revise external data policy?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 41995,
      "title": "Holiday info",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 41557,
      "title": "onpromotion field is empty",
      "comment_count": 7,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 42635,
      "title": "Weather data?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 42280,
      "title": "Looking for team",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 42444,
      "title": "Similar competition and strategy to tackle such problems",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 41616,
      "title": "Looking for a team-mate ",
      "comment_count": 24,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 42314,
      "title": "Time Series - LB 0.558",
      "comment_count": 2,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 41803,
      "title": "Questions related to items",
      "comment_count": 9,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 42446,
      "title": "Query on timeseries modelling and Na values",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 42333,
      "title": "What do we doing with these files?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 42331,
      "title": "Evaluation function not defined for negative units_sales?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 42255,
      "title": "Time Series Forecasting",
      "comment_count": 7,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 41815,
      "title": "How many SKUs forecasting required",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 41640,
      "title": "Reproducing the eval metric",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 41673,
      "title": "Validating performance",
      "comment_count": 14,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 41976,
      "title": "About unit_sales in test data",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 41679,
      "title": "Train data set only Jan 2013 data",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 41712,
      "title": "'Additional' in Holiday and event data",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 41681,
      "title": "Perishable vs non-perishable score weight",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 41642,
      "title": "About store.csv",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 41715,
      "title": "Evaluation clarification",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 41789,
      "title": "Kernel Challenges",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 41585,
      "title": "Rossmann",
      "comment_count": 2,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 41701,
      "title": "Join me if you're looking for a team-mate.",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 41690,
      "title": "Looking for experienced team-mate/mates",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 41582,
      "title": "How to replicate the metric",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 41553,
      "title": "Beat the benchmark",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    }
  ],
  "errors": []
}