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  "total": 156,
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    {
      "id": 21501,
      "title": "Welcome! ",
      "comment_count": 79,
      "views": 17880,
      "votes": 13,
      "reused": true
    },
    {
      "id": 23235,
      "title": "Leaderboard Results Final!",
      "comment_count": 8,
      "views": 1825,
      "votes": 25,
      "reused": true
    },
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      "id": 205095,
      "title": "How to read the training data set ",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 90748,
      "title": "Could I use this dataset for an adacemic research competition purpose?",
      "comment_count": 3,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 205073,
      "title": "Regarding the training dataset",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 205059,
      "title": "Help me to understand some variables",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 201328,
      "title": "Out of memory error",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 22556,
      "title": " ¿It is true, that we have only 9 weeks as input data?",
      "comment_count": 6,
      "views": 653,
      "votes": null,
      "reused": true
    },
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      "id": 22759,
      "title": "Interpretting RMSLE from RMSE",
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      "id": 22736,
      "title": "Xgboost very slow",
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      "votes": 1,
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    },
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      "id": 21725,
      "title": "Inventory management framework based on time series demand data",
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      "views": 452,
      "votes": null,
      "reused": true
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      "id": 22990,
      "title": " Decision tree visualization in python",
      "comment_count": 3,
      "views": 1321,
      "votes": null,
      "reused": true
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      "id": 45231,
      "title": "Linear Regression using weka",
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      "id": 22153,
      "title": "One Hot Encoding With R",
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      "reused": true
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      "id": 21901,
      "title": "The address in \"town_state.csv\"",
      "comment_count": 6,
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      "reused": true
    },
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      "id": 22321,
      "title": "Xgboost memory problem",
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      "votes": 2,
      "reused": true
    },
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      "id": 21707,
      "title": "Submission problem",
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    },
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      "id": 22662,
      "title": "xgboost and Windows 10",
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      "votes": null,
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    },
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      "id": 26313,
      "title": "Number of observations in Submission",
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      "views": 110,
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    },
    {
      "id": 25919,
      "title": "Temperature",
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      "views": 129,
      "votes": 0
    },
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      "id": 23863,
      "title": "#1 Place Solution of The Slippery Appraisals team ",
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      "views": 2840,
      "votes": 41,
      "reused": true
    },
    {
      "id": 23946,
      "title": "Report of Our First Kaggle Contest -%17 Ranking",
      "comment_count": 0,
      "views": 388,
      "votes": 3
    },
    {
      "id": 23633,
      "title": "A quick summary of Team Mystic (3rd place) solution",
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      "views": 1352,
      "votes": 17,
      "reused": true
    },
    {
      "id": 22758,
      "title": "Expecting a Huge Shake-up",
      "comment_count": 66,
      "views": 8205,
      "votes": 1,
      "reused": true
    },
    {
      "id": 23580,
      "title": "has top 3 solutions to this competition been posted? ",
      "comment_count": 1,
      "views": 532,
      "votes": 2,
      "reused": true
    },
    {
      "id": 23202,
      "title": "Low Memory Solution",
      "comment_count": 9,
      "views": 1265,
      "votes": 16,
      "reused": true
    },
    {
      "id": 23255,
      "title": "Apology,Story and solution summary",
      "comment_count": 12,
      "views": 1822,
      "votes": 15,
      "reused": true
    },
    {
      "id": 23234,
      "title": "Number of teams is changing",
      "comment_count": 21,
      "views": 1612,
      "votes": null,
      "reused": true
    },
    {
      "id": 23232,
      "title": "#6 Place Solution - Team Gilberto & Regis",
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      "views": 1368,
      "votes": 18,
      "reused": true
    },
    {
      "id": 23208,
      "title": "#19 place solution",
      "comment_count": 12,
      "views": 1430,
      "votes": 23,
      "reused": true
    },
    {
      "id": 23204,
      "title": "Solid CV, difficult to improve and lack of time",
      "comment_count": 4,
      "views": 558,
      "votes": 6,
      "reused": true
    },
    {
      "id": 23170,
      "title": "Tuning XGBoost with Caret",
      "comment_count": 8,
      "views": 3566,
      "votes": null,
      "reused": true
    },
    {
      "id": 23199,
      "title": "Guys at Top 10: Please share the secret",
      "comment_count": 1,
      "views": 740,
      "votes": 5,
      "reused": true
    },
    {
      "id": 22806,
      "title": "Understanding consecutive demands",
      "comment_count": 4,
      "views": 876,
      "votes": 1,
      "reused": true
    },
    {
      "id": 23162,
      "title": "nthread for xgb in r",
      "comment_count": 4,
      "views": 613,
      "votes": null,
      "reused": true
    },
    {
      "id": 23133,
      "title": "Do returns predict future sales?",
      "comment_count": 0,
      "views": 278,
      "votes": 2
    },
    {
      "id": 23053,
      "title": "team up and try to get top 10",
      "comment_count": 5,
      "views": 764,
      "votes": null,
      "reused": true
    },
    {
      "id": 23080,
      "title": "Making a Submission",
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      "views": 345,
      "votes": null,
      "reused": true
    },
    {
      "id": 23055,
      "title": "New to kaggle",
      "comment_count": 2,
      "views": 387,
      "votes": null,
      "reused": true
    },
    {
      "id": 23041,
      "title": "Team up in top 50?",
      "comment_count": 0,
      "views": 302,
      "votes": 1
    },
    {
      "id": 22818,
      "title": "Team up and try to win?",
      "comment_count": 2,
      "views": 801,
      "votes": 1,
      "reused": true
    },
    {
      "id": 22980,
      "title": "Want to Run you code rapidly?",
      "comment_count": 0,
      "views": 352,
      "votes": -13
    },
    {
      "id": 22930,
      "title": "Missing demand data",
      "comment_count": 3,
      "views": 412,
      "votes": null,
      "reused": true
    },
    {
      "id": 22864,
      "title": "only one prize",
      "comment_count": 6,
      "views": 808,
      "votes": 1,
      "reused": true
    },
    {
      "id": 22892,
      "title": "Looking for a team",
      "comment_count": 1,
      "views": 368,
      "votes": null,
      "reused": true
    },
    {
      "id": 22901,
      "title": "Ever Forget to Apply e^p-1 to Your Prediction?",
      "comment_count": 0,
      "views": 296,
      "votes": 1
    },
    {
      "id": 22847,
      "title": "One question about what we need to predict.",
      "comment_count": 2,
      "views": 469,
      "votes": null,
      "reused": true
    },
    {
      "id": 22872,
      "title": "Simple Solution based on mean values",
      "comment_count": 0,
      "views": 352,
      "votes": 0
    },
    {
      "id": 22037,
      "title": "PUEBLA REMISSION",
      "comment_count": 10,
      "views": 1842,
      "votes": 1,
      "reused": true
    },
    {
      "id": 22849,
      "title": "Forgot the post link",
      "comment_count": 1,
      "views": 223,
      "votes": 4,
      "reused": true
    },
    {
      "id": 22841,
      "title": "Team up top 50",
      "comment_count": 0,
      "views": 347,
      "votes": -3
    },
    {
      "id": 22840,
      "title": "Team up",
      "comment_count": 0,
      "views": 207,
      "votes": 0
    },
    {
      "id": 22820,
      "title": "xgboost not reach optimal value even nround=900",
      "comment_count": 4,
      "views": 665,
      "votes": null,
      "reused": true
    },
    {
      "id": 22788,
      "title": "Looking for Team",
      "comment_count": 4,
      "views": 593,
      "votes": 4,
      "reused": true
    },
    {
      "id": 22048,
      "title": "Train.csv - File not loaded completely",
      "comment_count": 8,
      "views": 1299,
      "votes": null,
      "reused": true
    },
    {
      "id": 22728,
      "title": "submit integer?",
      "comment_count": 5,
      "views": 384,
      "votes": 3,
      "reused": true
    },
    {
      "id": 22751,
      "title": "Computational resources",
      "comment_count": 5,
      "views": 412,
      "votes": null,
      "reused": true
    },
    {
      "id": 22705,
      "title": "NormbreProducto features",
      "comment_count": 4,
      "views": 623,
      "votes": null,
      "reused": true
    },
    {
      "id": 21827,
      "title": "duplicates in train data except for routes",
      "comment_count": 6,
      "views": 1156,
      "votes": 9,
      "reused": true
    },
    {
      "id": 22393,
      "title": "Current Method Sharing",
      "comment_count": 20,
      "views": 4190,
      "votes": 40,
      "reused": true
    },
    {
      "id": 22684,
      "title": "xgboost warm start",
      "comment_count": 1,
      "views": 685,
      "votes": null,
      "reused": true
    },
    {
      "id": 21820,
      "title": "Sparse Matrix",
      "comment_count": 1,
      "views": 571,
      "votes": 1,
      "reused": true
    },
    {
      "id": 21516,
      "title": "Hardware for this competition",
      "comment_count": 25,
      "views": 5342,
      "votes": 5,
      "reused": true
    },
    {
      "id": 21918,
      "title": "Public versus private leaderboard data split",
      "comment_count": 20,
      "views": 2456,
      "votes": 4,
      "reused": true
    },
    {
      "id": 22621,
      "title": "Row means in H2o in R",
      "comment_count": 1,
      "views": 414,
      "votes": null,
      "reused": true
    },
    {
      "id": 22641,
      "title": "That moment when...",
      "comment_count": 0,
      "views": 310,
      "votes": 1
    },
    {
      "id": 21966,
      "title": "Neural Network using Keras",
      "comment_count": 13,
      "views": 2926,
      "votes": 1,
      "reused": true
    },
    {
      "id": 22600,
      "title": "DTM Frequency of Client Names",
      "comment_count": 1,
      "views": 377,
      "votes": 1,
      "reused": true
    },
    {
      "id": 22599,
      "title": "Missing values of Ruta_ID and Cliente_ID in train data ",
      "comment_count": 1,
      "views": 348,
      "votes": null,
      "reused": true
    },
    {
      "id": 22596,
      "title": "Anyone using Tensorflow?",
      "comment_count": 0,
      "views": 306,
      "votes": 0
    },
    {
      "id": 21763,
      "title": "Lat-long geo coordinates",
      "comment_count": 3,
      "views": 764,
      "votes": null,
      "reused": true
    },
    {
      "id": 22525,
      "title": "Accessing by column name: Strange",
      "comment_count": 5,
      "views": 684,
      "votes": null,
      "reused": true
    },
    {
      "id": 22501,
      "title": "Calculating the Root Mean Squared Logarithmic Error",
      "comment_count": 7,
      "views": 1107,
      "votes": 1,
      "reused": true
    },
    {
      "id": 22467,
      "title": "The value '35305' in the key column 'id' has already been defined (Line 9, Column 1) ",
      "comment_count": 2,
      "views": 485,
      "votes": 1,
      "reused": true
    },
    {
      "id": 22459,
      "title": "Weather forecasts/Farmer's Almanac as external data",
      "comment_count": 3,
      "views": 549,
      "votes": 2,
      "reused": true
    },
    {
      "id": 22330,
      "title": "There is hope with xgboost and small hardware",
      "comment_count": 18,
      "views": 3031,
      "votes": 10,
      "reused": true
    },
    {
      "id": 21547,
      "title": "Let's discuss validation strategies...!",
      "comment_count": 22,
      "views": 3522,
      "votes": 2,
      "reused": true
    },
    {
      "id": 22403,
      "title": "Producto_tabla.csv ",
      "comment_count": 1,
      "views": 363,
      "votes": null,
      "reused": true
    },
    {
      "id": 21533,
      "title": "Ruta_SAK",
      "comment_count": 9,
      "views": 2665,
      "votes": null,
      "reused": true
    },
    {
      "id": 22341,
      "title": "Understanding Grupo Bimbo Data",
      "comment_count": 1,
      "views": 454,
      "votes": null
    },
    {
      "id": 22322,
      "title": "XGB external memory?",
      "comment_count": 1,
      "views": 357,
      "votes": null,
      "reused": true
    },
    {
      "id": 22282,
      "title": "Gap in the sales of the users",
      "comment_count": 3,
      "views": 445,
      "votes": null,
      "reused": true
    },
    {
      "id": 22220,
      "title": "Howzzat?",
      "comment_count": 9,
      "views": 823,
      "votes": 4,
      "reused": true
    },
    {
      "id": 22268,
      "title": "Pre Processing: use the log function!",
      "comment_count": 6,
      "views": 923,
      "votes": 4,
      "reused": true
    },
    {
      "id": 22169,
      "title": "is geocode considered as external source?",
      "comment_count": 5,
      "views": 533,
      "votes": null,
      "reused": true
    },
    {
      "id": 21727,
      "title": "what does town_state.csv actually contain?",
      "comment_count": 1,
      "views": 602,
      "votes": null,
      "reused": true
    },
    {
      "id": 21776,
      "title": "duplicates in train.csv",
      "comment_count": 5,
      "views": 973,
      "votes": null,
      "reused": true
    },
    {
      "id": 22155,
      "title": "Leave One Out Encoding",
      "comment_count": 6,
      "views": 1385,
      "votes": 12,
      "reused": true
    },
    {
      "id": 22265,
      "title": "Post Processing: Isotonic Regression",
      "comment_count": 1,
      "views": 462,
      "votes": 2,
      "reused": true
    },
    {
      "id": 22227,
      "title": "Feature hashing trick with partial fitting (low memore usage)",
      "comment_count": 0,
      "views": 716,
      "votes": 9
    },
    {
      "id": 21927,
      "title": "Which is the actual store, Agencia or Cliente?",
      "comment_count": 9,
      "views": 1615,
      "votes": null,
      "reused": true
    },
    {
      "id": 22173,
      "title": "Private leader board?",
      "comment_count": 2,
      "views": 400,
      "votes": null,
      "reused": true
    },
    {
      "id": 22178,
      "title": "Question",
      "comment_count": 1,
      "views": 318,
      "votes": null,
      "reused": true
    },
    {
      "id": 22138,
      "title": "About \"Estado de Mexico\" and \"Mexico DF\"",
      "comment_count": 2,
      "views": 523,
      "votes": null,
      "reused": true
    },
    {
      "id": 22136,
      "title": "Running linear regression with Null Values?",
      "comment_count": 1,
      "views": 457,
      "votes": null,
      "reused": true
    },
    {
      "id": 22074,
      "title": "Why does a product ID have multiple prices?",
      "comment_count": 5,
      "views": 1193,
      "votes": null,
      "reused": true
    },
    {
      "id": 22109,
      "title": "Will this idea work with more RAM?",
      "comment_count": 6,
      "views": 1098,
      "votes": null,
      "reused": true
    },
    {
      "id": 22093,
      "title": "How to improve pandas performance with this data ",
      "comment_count": 4,
      "views": 1202,
      "votes": null,
      "reused": true
    },
    {
      "id": 22117,
      "title": "number of data per week",
      "comment_count": 2,
      "views": 550,
      "votes": 1,
      "reused": true
    },
    {
      "id": 21649,
      "title": "Product File Information and Assumptions",
      "comment_count": 6,
      "views": 1264,
      "votes": null,
      "reused": true
    },
    {
      "id": 22084,
      "title": "Model Development Methodology ",
      "comment_count": 3,
      "views": 1007,
      "votes": null,
      "reused": true
    },
    {
      "id": 22006,
      "title": "are these real products?",
      "comment_count": 6,
      "views": 906,
      "votes": 1,
      "reused": true
    },
    {
      "id": 22063,
      "title": "How to apply one-hot encoding to big files?",
      "comment_count": 1,
      "views": 747,
      "votes": 1,
      "reused": true
    },
    {
      "id": 22007,
      "title": "Submit Error: type 'Int32', but was 'String' ",
      "comment_count": 3,
      "views": 582,
      "votes": null,
      "reused": true
    },
    {
      "id": 21982,
      "title": "trainset and testset - not matching fields",
      "comment_count": 6,
      "views": 904,
      "votes": null,
      "reused": true
    },
    {
      "id": 21996,
      "title": "XGB newbie stuck...",
      "comment_count": 2,
      "views": 933,
      "votes": null,
      "reused": true
    },
    {
      "id": 21962,
      "title": "Can I submit remotely?",
      "comment_count": 5,
      "views": 617,
      "votes": null,
      "reused": true
    },
    {
      "id": 21958,
      "title": "A rookie question",
      "comment_count": 2,
      "views": 785,
      "votes": null,
      "reused": true
    },
    {
      "id": 21928,
      "title": "Missing demand info",
      "comment_count": 4,
      "views": 723,
      "votes": null,
      "reused": true
    },
    {
      "id": 21960,
      "title": "Meaning of data fields",
      "comment_count": 1,
      "views": 506,
      "votes": null,
      "reused": true
    },
    {
      "id": 21787,
      "title": "Handling the large datasets",
      "comment_count": 25,
      "views": 4827,
      "votes": null,
      "reused": true
    },
    {
      "id": 21523,
      "title": "Bias",
      "comment_count": 9,
      "views": 1481,
      "votes": 3,
      "reused": true
    },
    {
      "id": 21930,
      "title": "Anaconda Python 2.7.x 64bit :overcoming out of momory error.",
      "comment_count": 3,
      "views": 997,
      "votes": null,
      "reused": true
    },
    {
      "id": 21844,
      "title": "curious about testing run times",
      "comment_count": 12,
      "views": 1243,
      "votes": null,
      "reused": true
    },
    {
      "id": 21860,
      "title": "Looking for a teammate or mentor",
      "comment_count": 5,
      "views": 818,
      "votes": null,
      "reused": true
    },
    {
      "id": 21893,
      "title": "Testing your model against a small benchmark dataset",
      "comment_count": 2,
      "views": 600,
      "votes": null,
      "reused": true
    },
    {
      "id": 21632,
      "title": "Exponential in ID column of sub while writing csv in R",
      "comment_count": 2,
      "views": 541,
      "votes": null,
      "reused": true
    },
    {
      "id": 21841,
      "title": "Geocoding the locations using R and Nominatim",
      "comment_count": 5,
      "views": 939,
      "votes": 6,
      "reused": true
    },
    {
      "id": 21500,
      "title": "Time Series!!!",
      "comment_count": 17,
      "views": 5139,
      "votes": 11,
      "reused": true
    },
    {
      "id": 21585,
      "title": "Linear Regression with Skewed Data",
      "comment_count": 10,
      "views": 2505,
      "votes": 1,
      "reused": true
    },
    {
      "id": 21836,
      "title": "PANDAS seems to be too slow for this project",
      "comment_count": 2,
      "views": 916,
      "votes": 2,
      "reused": true
    },
    {
      "id": 21832,
      "title": "Doubt on external data use meaning",
      "comment_count": 2,
      "views": 504,
      "votes": null,
      "reused": true
    },
    {
      "id": 21786,
      "title": "Handling categorical values",
      "comment_count": 6,
      "views": 1066,
      "votes": null,
      "reused": true
    },
    {
      "id": 21696,
      "title": "Semana - Week number comprehension",
      "comment_count": 7,
      "views": 1058,
      "votes": null,
      "reused": true
    },
    {
      "id": 21806,
      "title": "FTLR for all low memory Punters",
      "comment_count": 0,
      "views": 889,
      "votes": 1
    },
    {
      "id": 21800,
      "title": "Only the first is in the money?",
      "comment_count": 0,
      "views": 681,
      "votes": 6
    },
    {
      "id": 21601,
      "title": "What are we actually predicting here?",
      "comment_count": 15,
      "views": 3549,
      "votes": 19,
      "reused": true
    },
    {
      "id": 21779,
      "title": "no data for week 1 and 2",
      "comment_count": 3,
      "views": 518,
      "votes": null,
      "reused": true
    },
    {
      "id": 21507,
      "title": "Vivo por Agencia_ID\u0000 25739\u0000",
      "comment_count": 17,
      "views": 2840,
      "votes": 28,
      "reused": true
    },
    {
      "id": 21740,
      "title": "Downsample for CV",
      "comment_count": 2,
      "views": 520,
      "votes": null,
      "reused": true
    },
    {
      "id": 21757,
      "title": "Looking to join (or form a team)",
      "comment_count": 0,
      "views": 280,
      "votes": 0
    },
    {
      "id": 21746,
      "title": "Negative Values in Return Items",
      "comment_count": 2,
      "views": 393,
      "votes": null,
      "reused": true
    },
    {
      "id": 21729,
      "title": "What external data can be used?",
      "comment_count": 7,
      "views": 993,
      "votes": null,
      "reused": true
    },
    {
      "id": 21741,
      "title": "Ensembling",
      "comment_count": 1,
      "views": 599,
      "votes": null,
      "reused": true
    },
    {
      "id": 21743,
      "title": "Who decides the amount being delivered? ",
      "comment_count": 0,
      "views": 257,
      "votes": 0
    },
    {
      "id": 21637,
      "title": "About cliente_tabla.csv duplicates",
      "comment_count": 1,
      "views": 620,
      "votes": 4,
      "reused": true
    },
    {
      "id": 21719,
      "title": "Python script for sampling train.csv",
      "comment_count": 2,
      "views": 788,
      "votes": 3,
      "reused": true
    },
    {
      "id": 21673,
      "title": "How to handle this much data in R",
      "comment_count": 16,
      "views": 2275,
      "votes": null,
      "reused": true
    },
    {
      "id": 21529,
      "title": "Product Name Parts",
      "comment_count": 10,
      "views": 1986,
      "votes": 5,
      "reused": true
    },
    {
      "id": 21695,
      "title": "Trouble downloading the Train data",
      "comment_count": 1,
      "views": 323,
      "votes": null,
      "reused": true
    },
    {
      "id": 21685,
      "title": "What do they mean by Route ID (Several routes = Sales Depot)",
      "comment_count": 1,
      "views": 1083,
      "votes": null
    },
    {
      "id": 21670,
      "title": "Data censored not at random",
      "comment_count": 0,
      "views": 626,
      "votes": 3
    },
    {
      "id": 21618,
      "title": "Is the data for 2016?",
      "comment_count": 1,
      "views": 390,
      "votes": null,
      "reused": true
    },
    {
      "id": 21645,
      "title": "Issue  with team merging",
      "comment_count": 0,
      "views": 282,
      "votes": 2
    },
    {
      "id": 21631,
      "title": "6999251  no. of rows in submission file?",
      "comment_count": 7,
      "views": 760,
      "votes": null,
      "reused": true
    },
    {
      "id": 21620,
      "title": "Interpretation/Overview of the flow",
      "comment_count": 3,
      "views": 1168,
      "votes": 14,
      "reused": true
    },
    {
      "id": 21605,
      "title": "Reading Data",
      "comment_count": 3,
      "views": 1048,
      "votes": null,
      "reused": true
    },
    {
      "id": 21570,
      "title": "Few questions related to the variables.",
      "comment_count": 7,
      "views": 1303,
      "votes": 1,
      "reused": true
    },
    {
      "id": 21614,
      "title": "hack",
      "comment_count": 1,
      "views": 650,
      "votes": -5,
      "reused": true
    },
    {
      "id": 21602,
      "title": "Data wrangling",
      "comment_count": 0,
      "views": 540,
      "votes": -5
    },
    {
      "id": 21596,
      "title": "Looking for someone from IIT,Kanpur",
      "comment_count": 0,
      "views": 328,
      "votes": 0
    },
    {
      "id": 21554,
      "title": "~10k duplicated client ids",
      "comment_count": 4,
      "views": 1132,
      "votes": 4,
      "reused": true
    },
    {
      "id": 21566,
      "title": "Is Time Series Applicable?",
      "comment_count": 1,
      "views": 850,
      "votes": 1,
      "reused": true
    },
    {
      "id": 21527,
      "title": "Long submission time",
      "comment_count": 1,
      "views": 767,
      "votes": null
    },
    {
      "id": 21531,
      "title": "How good will a neural network approach perform in this competition?",
      "comment_count": 3,
      "views": 1250,
      "votes": null,
      "reused": true
    },
    {
      "id": 21535,
      "title": "Spatial Features and Visualisation on a Map",
      "comment_count": 0,
      "views": 1025,
      "votes": 4
    }
  ],
  "errors": []
}