{
  "total": 184,
  "topics": [
    {
      "id": 24790,
      "title": "Welcome! ",
      "comment_count": 34,
      "views": 5488,
      "votes": 13
    },
    {
      "id": 370140,
      "title": "Doubt regarding the Santander Transaction Data",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 26835,
      "title": "#1 solution",
      "comment_count": 9,
      "views": 1780,
      "votes": 52
    },
    {
      "id": 26816,
      "title": "#13 solution sharing",
      "comment_count": 1,
      "views": 206,
      "votes": 9
    },
    {
      "id": 144888,
      "title": "How to split the data when the model is trained？",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 108490,
      "title": "Multiclass single label text classification",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 70601,
      "title": "Permission to use this dataset for book project",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 25026,
      "title": "[Errno 13 ] Permission denied",
      "comment_count": 5,
      "views": 360,
      "votes": null
    },
    {
      "id": 26789,
      "title": "Simple model solution: 0.0305221- Top 5%",
      "comment_count": 12,
      "views": 1070,
      "votes": 24
    },
    {
      "id": 24848,
      "title": "Header spanish->english translation",
      "comment_count": 3,
      "views": 545,
      "votes": 2
    },
    {
      "id": 74891,
      "title": "How to execute data.table operations with multi cores?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 26841,
      "title": "#5 Solution",
      "comment_count": 4,
      "views": 449,
      "votes": 13
    },
    {
      "id": 72080,
      "title": " I have a question.",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 69544,
      "title": "Robrebre solution",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 26899,
      "title": "3rd place solution (with code)",
      "comment_count": 20,
      "views": 1795,
      "votes": 69
    },
    {
      "id": 26845,
      "title": "4th Place Solution",
      "comment_count": 5,
      "views": 754,
      "votes": 29
    },
    {
      "id": 26809,
      "title": "#9 solution",
      "comment_count": 13,
      "views": 642,
      "votes": 18
    },
    {
      "id": 60532,
      "title": "Release ground truth",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 54612,
      "title": "Customer Distribution Pattern in Predicting products",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 51688,
      "title": "Requesting permission to publish this competition data",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 26824,
      "title": "2nd Place Solution",
      "comment_count": 41,
      "views": 4175,
      "votes": 82
    },
    {
      "id": 25506,
      "title": "Xgboost For Multi-output",
      "comment_count": 5,
      "views": 1219,
      "votes": null
    },
    {
      "id": 33232,
      "title": "\"This data set does not include any real Santander Spain's customer\"?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 25871,
      "title": "Naive Bayes + Genetic Algorithms-> LB 0.0272 (Cleaned and reduced dataset included)",
      "comment_count": 37,
      "views": 5829,
      "votes": 22
    },
    {
      "id": 26823,
      "title": "#11 Solution and Code",
      "comment_count": 6,
      "views": 732,
      "votes": 23
    },
    {
      "id": 24908,
      "title": "Clarification on MAP@7 Expression ",
      "comment_count": 3,
      "views": 608,
      "votes": 1
    },
    {
      "id": 24982,
      "title": "Exploratory analysis with zeppelin notebook",
      "comment_count": 1,
      "views": 225,
      "votes": null
    },
    {
      "id": 25928,
      "title": "MAP@K metric for keras with tensorflow backend",
      "comment_count": 1,
      "views": 400,
      "votes": 1
    },
    {
      "id": 26831,
      "title": "All Solutions",
      "comment_count": 5,
      "views": 1213,
      "votes": 46
    },
    {
      "id": 26838,
      "title": "#8 solution code",
      "comment_count": 4,
      "views": 618,
      "votes": 12
    },
    {
      "id": 26787,
      "title": "Congrats!!! And thanks!",
      "comment_count": 11,
      "views": 791,
      "votes": 24
    },
    {
      "id": 26786,
      "title": "Solution sharing",
      "comment_count": 8,
      "views": 1136,
      "votes": 46
    },
    {
      "id": 26802,
      "title": "#7 solution",
      "comment_count": 3,
      "views": 520,
      "votes": 31
    },
    {
      "id": 26810,
      "title": "kowledge sharing",
      "comment_count": 4,
      "views": 256,
      "votes": 10
    },
    {
      "id": 26866,
      "title": "Recommendations for Santander going forward?",
      "comment_count": 3,
      "views": 273,
      "votes": 5
    },
    {
      "id": 26785,
      "title": "AJ and Matt's Solution Details",
      "comment_count": 8,
      "views": 773,
      "votes": 15
    },
    {
      "id": 26822,
      "title": "Learning To Rank",
      "comment_count": 7,
      "views": 422,
      "votes": 3
    },
    {
      "id": 26812,
      "title": "Insights sharing",
      "comment_count": 1,
      "views": 288,
      "votes": 8
    },
    {
      "id": 26764,
      "title": "Fraud",
      "comment_count": 10,
      "views": 753,
      "votes": 15
    },
    {
      "id": 26850,
      "title": "Maybe they found the Facebook scammer?",
      "comment_count": 6,
      "views": 469,
      "votes": null
    },
    {
      "id": 26901,
      "title": "Competition experience",
      "comment_count": 0,
      "views": 183,
      "votes": 0
    },
    {
      "id": 26811,
      "title": "Why Recommendation Pipeline did not work?",
      "comment_count": 5,
      "views": 250,
      "votes": 1
    },
    {
      "id": 26808,
      "title": "Some ideas from my solution",
      "comment_count": 0,
      "views": 214,
      "votes": 10
    },
    {
      "id": 26848,
      "title": "Results verified",
      "comment_count": 0,
      "views": 179,
      "votes": 4
    },
    {
      "id": 26817,
      "title": "Xgb Model - Top 5%",
      "comment_count": 2,
      "views": 210,
      "votes": 4
    },
    {
      "id": 26741,
      "title": "Last day of the competition",
      "comment_count": 13,
      "views": 1130,
      "votes": null
    },
    {
      "id": 25251,
      "title": "How can I create a Julia notebook?",
      "comment_count": 1,
      "views": 189,
      "votes": 1
    },
    {
      "id": 26847,
      "title": "Can we get the data for the 2016-06-28 ?",
      "comment_count": 3,
      "views": 203,
      "votes": 1
    },
    {
      "id": 26588,
      "title": "Leaderboard progression",
      "comment_count": 6,
      "views": 973,
      "votes": 18
    },
    {
      "id": 26562,
      "title": "Leaderboard shakeup with MAP?",
      "comment_count": 22,
      "views": 1888,
      "votes": 2
    },
    {
      "id": 26766,
      "title": "Difference Between Renewed Product and 'Actual' New product",
      "comment_count": 0,
      "views": 162,
      "votes": 0
    },
    {
      "id": 26761,
      "title": "Will the Submission Functionality Remain After Deadline?",
      "comment_count": 2,
      "views": 159,
      "votes": null
    },
    {
      "id": 26740,
      "title": "how to do cross validation",
      "comment_count": 0,
      "views": 188,
      "votes": 0
    },
    {
      "id": 26693,
      "title": "Best aggregation function (e.g. mean, median) when ensembling for Map@7",
      "comment_count": 1,
      "views": 402,
      "votes": 1
    },
    {
      "id": 26685,
      "title": "Number of teams still varying after December 14th deadline!?",
      "comment_count": 4,
      "views": 276,
      "votes": null
    },
    {
      "id": 26656,
      "title": "production removal",
      "comment_count": 3,
      "views": 266,
      "votes": null
    },
    {
      "id": 26339,
      "title": "Six-way tie",
      "comment_count": 9,
      "views": 1244,
      "votes": 2
    },
    {
      "id": 26664,
      "title": "how to upload?",
      "comment_count": 2,
      "views": 163,
      "votes": -3
    },
    {
      "id": 26612,
      "title": "What could be the cause for the slow speed of xgboost?",
      "comment_count": 11,
      "views": 747,
      "votes": null
    },
    {
      "id": 26615,
      "title": "mlogloss vs public score",
      "comment_count": 9,
      "views": 713,
      "votes": null
    },
    {
      "id": 26645,
      "title": "Recommendation influence?",
      "comment_count": 0,
      "views": 208,
      "votes": 0
    },
    {
      "id": 26402,
      "title": "Stuck at 0.027 in xgb",
      "comment_count": 3,
      "views": 685,
      "votes": -1
    },
    {
      "id": 26598,
      "title": "Submission file format",
      "comment_count": 5,
      "views": 288,
      "votes": null
    },
    {
      "id": 26572,
      "title": "What does it mean if a customer has no data in previous month",
      "comment_count": 16,
      "views": 758,
      "votes": null
    },
    {
      "id": 25579,
      "title": "When Less is More",
      "comment_count": 93,
      "views": 18711,
      "votes": 107
    },
    {
      "id": 26516,
      "title": "Graph Theory",
      "comment_count": 3,
      "views": 581,
      "votes": 4
    },
    {
      "id": 26494,
      "title": "Is someone doing a \"Robot probing\"?",
      "comment_count": 5,
      "views": 573,
      "votes": null
    },
    {
      "id": 26548,
      "title": "number of rows including new products",
      "comment_count": 2,
      "views": 362,
      "votes": null
    },
    {
      "id": 26043,
      "title": "Difficult diversifying models?",
      "comment_count": 6,
      "views": 715,
      "votes": 3
    },
    {
      "id": 26547,
      "title": "single model, mlogloss or merror?",
      "comment_count": 1,
      "views": 318,
      "votes": null
    },
    {
      "id": 26509,
      "title": "Data setup feels all wrong...",
      "comment_count": 1,
      "views": 262,
      "votes": 1
    },
    {
      "id": 26453,
      "title": "New Product Count rule",
      "comment_count": 2,
      "views": 443,
      "votes": null
    },
    {
      "id": 25948,
      "title": " HELP!!! scikit learn's XGboostClassifier with GridsearchCV, log_loss, and multi:softprob. ",
      "comment_count": 4,
      "views": 598,
      "votes": null
    },
    {
      "id": 26387,
      "title": "Using 2015-07 to 2015-12 Months' Data",
      "comment_count": 2,
      "views": 717,
      "votes": 1
    },
    {
      "id": 26515,
      "title": "Any chance to extend the Entry deadline?",
      "comment_count": 0,
      "views": 272,
      "votes": -10
    },
    {
      "id": 26485,
      "title": "Question regarding implementation of lag of order 5 for product features",
      "comment_count": 0,
      "views": 383,
      "votes": -7
    },
    {
      "id": 25803,
      "title": "MLogLoss with BreakfastPirate's Script on May 2016",
      "comment_count": 31,
      "views": 5011,
      "votes": 1
    },
    {
      "id": 26270,
      "title": "Proportional Area Venn Diagram",
      "comment_count": 2,
      "views": 446,
      "votes": 9
    },
    {
      "id": 26283,
      "title": "Stagnation in first 6 months",
      "comment_count": 5,
      "views": 1078,
      "votes": 3
    },
    {
      "id": 26369,
      "title": "Script for optimizing XGBoost Params",
      "comment_count": 2,
      "views": 552,
      "votes": null
    },
    {
      "id": 26225,
      "title": "How far can you go with single model...",
      "comment_count": 11,
      "views": 1234,
      "votes": 4
    },
    {
      "id": 26342,
      "title": "training data clarification",
      "comment_count": 5,
      "views": 631,
      "votes": null
    },
    {
      "id": 26252,
      "title": "Santa competition",
      "comment_count": 9,
      "views": 928,
      "votes": 6
    },
    {
      "id": 26367,
      "title": "Inconsistent result",
      "comment_count": 3,
      "views": 427,
      "votes": null
    },
    {
      "id": 26307,
      "title": "Using Global Trends",
      "comment_count": 5,
      "views": 520,
      "votes": 1
    },
    {
      "id": 26308,
      "title": "Noob question about generalisation",
      "comment_count": 8,
      "views": 324,
      "votes": null
    },
    {
      "id": 26213,
      "title": "Creating a multiclass dataset in pandas",
      "comment_count": 3,
      "views": 431,
      "votes": 1
    },
    {
      "id": 25727,
      "title": "Question about MAP@7 ",
      "comment_count": 30,
      "views": 3130,
      "votes": null
    },
    {
      "id": 26304,
      "title": "How to boost on an xgboost model from its last iteration without starting from the beginning for multi:prob",
      "comment_count": 1,
      "views": 331,
      "votes": null
    },
    {
      "id": 26138,
      "title": "Interesting relationship between june and december",
      "comment_count": 6,
      "views": 967,
      "votes": 12
    },
    {
      "id": 26259,
      "title": "Does the records independent with each other? ",
      "comment_count": 2,
      "views": 280,
      "votes": null
    },
    {
      "id": 26245,
      "title": "evaluating the models ?",
      "comment_count": 1,
      "views": 261,
      "votes": null
    },
    {
      "id": 26080,
      "title": "Market-Basket model",
      "comment_count": 5,
      "views": 702,
      "votes": 3
    },
    {
      "id": 26222,
      "title": "How do You integrate the \"date\" feature in Your Modelling?",
      "comment_count": 0,
      "views": 235,
      "votes": 0
    },
    {
      "id": 26208,
      "title": "Question about the date",
      "comment_count": 1,
      "views": 187,
      "votes": null
    },
    {
      "id": 26011,
      "title": "When Santander deploys these models ...",
      "comment_count": 18,
      "views": 1175,
      "votes": 3
    },
    {
      "id": 26123,
      "title": "R way of removing products currently owned?",
      "comment_count": 3,
      "views": 345,
      "votes": null
    },
    {
      "id": 25629,
      "title": "Product-Month Stacked Bar Chart",
      "comment_count": 3,
      "views": 983,
      "votes": 14
    },
    {
      "id": 26132,
      "title": "Can we use this data for a research paper ?",
      "comment_count": 0,
      "views": 159,
      "votes": 0
    },
    {
      "id": 26122,
      "title": "How about public available data?",
      "comment_count": 2,
      "views": 348,
      "votes": null
    },
    {
      "id": 25831,
      "title": "Interactive exploratory analysis using a Shiny app",
      "comment_count": 3,
      "views": 1090,
      "votes": 25
    },
    {
      "id": 26066,
      "title": "ValueError: operands could not be broadcast together with shapes ",
      "comment_count": 1,
      "views": 208,
      "votes": null
    },
    {
      "id": 25986,
      "title": "Anyone using any Recommendation Model / Collaborative Filtering ?",
      "comment_count": 7,
      "views": 664,
      "votes": null
    },
    {
      "id": 26060,
      "title": "Which Database is Good to fetch data in R",
      "comment_count": 4,
      "views": 267,
      "votes": null
    },
    {
      "id": 25815,
      "title": "Creating ensemble from 2 submissions",
      "comment_count": 7,
      "views": 998,
      "votes": 14
    },
    {
      "id": 26055,
      "title": "How to explain why a customer have or not have a product in different time?",
      "comment_count": 0,
      "views": 166,
      "votes": 0
    },
    {
      "id": 26029,
      "title": "No real customers?",
      "comment_count": 1,
      "views": 167,
      "votes": null
    },
    {
      "id": 25158,
      "title": "Does anyone notice data duplications for first half of 2015 year?",
      "comment_count": 7,
      "views": 1333,
      "votes": 10
    },
    {
      "id": 25891,
      "title": "Categorical Data Handling for Beginners.",
      "comment_count": 6,
      "views": 579,
      "votes": 2
    },
    {
      "id": 25921,
      "title": "Feature Importance",
      "comment_count": 0,
      "views": 188,
      "votes": 0
    },
    {
      "id": 25844,
      "title": "Attempting to Clarify ...",
      "comment_count": 5,
      "views": 483,
      "votes": 2
    },
    {
      "id": 25256,
      "title": "meaning of the variables?",
      "comment_count": 6,
      "views": 966,
      "votes": 2
    },
    {
      "id": 25897,
      "title": "Problem with mlogloss and xgboost",
      "comment_count": 1,
      "views": 308,
      "votes": null
    },
    {
      "id": 25802,
      "title": "Which loss function to use for keras LSTM",
      "comment_count": 4,
      "views": 678,
      "votes": 4
    },
    {
      "id": 25769,
      "title": "Meaning of \"Current\" Accounts",
      "comment_count": 8,
      "views": 587,
      "votes": 2
    },
    {
      "id": 25839,
      "title": "Customer record  should show updates to capture the historical trends",
      "comment_count": 0,
      "views": 167,
      "votes": -1
    },
    {
      "id": 25467,
      "title": "train_ver2 is  48 columns and in test_ver2 only 24 columns? Is that correct? thanks",
      "comment_count": 2,
      "views": 461,
      "votes": null
    },
    {
      "id": 25797,
      "title": "What to predict?",
      "comment_count": 2,
      "views": 314,
      "votes": null
    },
    {
      "id": 25783,
      "title": "Did anyone try reinforcement learning using dynamic programming ?",
      "comment_count": 1,
      "views": 337,
      "votes": 1
    },
    {
      "id": 25768,
      "title": "Can't get XGBoost to work on google compute engine",
      "comment_count": 1,
      "views": 280,
      "votes": null
    },
    {
      "id": 25746,
      "title": "LSTM?",
      "comment_count": 5,
      "views": 687,
      "votes": null
    },
    {
      "id": 25660,
      "title": "Messy predictors (age, antiguedad, ...) ",
      "comment_count": 4,
      "views": 675,
      "votes": 2
    },
    {
      "id": 25343,
      "title": "Mysterious ind_empleado == \"S\"",
      "comment_count": 4,
      "views": 603,
      "votes": 4
    },
    {
      "id": 25648,
      "title": "Impact of interest rates",
      "comment_count": 0,
      "views": 318,
      "votes": 14
    },
    {
      "id": 25734,
      "title": "About Santader Product Recommendation",
      "comment_count": 2,
      "views": 323,
      "votes": null
    },
    {
      "id": 25728,
      "title": "CV Error for XGB Model",
      "comment_count": 0,
      "views": 577,
      "votes": 0
    },
    {
      "id": 25443,
      "title": "Validation strategy and scores",
      "comment_count": 11,
      "views": 1186,
      "votes": 3
    },
    {
      "id": 24933,
      "title": "Basic Question on Data",
      "comment_count": 17,
      "views": 2280,
      "votes": null
    },
    {
      "id": 25464,
      "title": "Grouping of Products",
      "comment_count": 6,
      "views": 970,
      "votes": 1
    },
    {
      "id": 25519,
      "title": "Renta values",
      "comment_count": 1,
      "views": 309,
      "votes": 1
    },
    {
      "id": 25497,
      "title": "Clustering Analysis",
      "comment_count": 0,
      "views": 370,
      "votes": 2
    },
    {
      "id": 25472,
      "title": "Customers of Data Submission",
      "comment_count": 0,
      "views": 143,
      "votes": 0
    },
    {
      "id": 25371,
      "title": "Clarifying what a correct recommendation means",
      "comment_count": 3,
      "views": 574,
      "votes": 3
    },
    {
      "id": 25040,
      "title": "question with indrel and ult_fec_cli_1t",
      "comment_count": 3,
      "views": 588,
      "votes": 2
    },
    {
      "id": 25308,
      "title": "We are working with fake data?",
      "comment_count": 4,
      "views": 854,
      "votes": 1
    },
    {
      "id": 24843,
      "title": "Too much personal data?",
      "comment_count": 5,
      "views": 1462,
      "votes": 22
    },
    {
      "id": 25366,
      "title": "A newbie's question",
      "comment_count": 2,
      "views": 316,
      "votes": null
    },
    {
      "id": 25217,
      "title": "System requirement ",
      "comment_count": 10,
      "views": 699,
      "votes": null
    },
    {
      "id": 25279,
      "title": "Did anyone try neural networks?",
      "comment_count": 9,
      "views": 1358,
      "votes": 1
    },
    {
      "id": 25325,
      "title": "no of predictions per user",
      "comment_count": 1,
      "views": 232,
      "votes": null
    },
    {
      "id": 25305,
      "title": "Meaning of \"ind_empleado\" and \"fecha_alta\"?",
      "comment_count": 0,
      "views": 186,
      "votes": 1
    },
    {
      "id": 25275,
      "title": "Will I be disqualified if I already accepted the rules using my facebook account?",
      "comment_count": 1,
      "views": 333,
      "votes": 1
    },
    {
      "id": 25108,
      "title": "Incorrect data type in train_ver2.csv",
      "comment_count": 1,
      "views": 274,
      "votes": null
    },
    {
      "id": 25274,
      "title": "Will I be eligible to win a prize if I use Tensorflow (licensed under Apache 2.0/opensource)",
      "comment_count": 4,
      "views": 687,
      "votes": null
    },
    {
      "id": 24801,
      "title": "Missing IDs?",
      "comment_count": 9,
      "views": 1386,
      "votes": 2
    },
    {
      "id": 25197,
      "title": "Public Leaderboard Probing?",
      "comment_count": 5,
      "views": 1017,
      "votes": 2
    },
    {
      "id": 24975,
      "title": "Users with no products? and the meaning of NA",
      "comment_count": 2,
      "views": 475,
      "votes": 1
    },
    {
      "id": 25218,
      "title": "What are the basic steps needed for data to apply machine learning models ?",
      "comment_count": 4,
      "views": 593,
      "votes": null
    },
    {
      "id": 25229,
      "title": "Table Summary of train_ver2.csv",
      "comment_count": 0,
      "views": 227,
      "votes": 2
    },
    {
      "id": 25225,
      "title": "The predicted variable (Attribute)",
      "comment_count": 1,
      "views": 220,
      "votes": null
    },
    {
      "id": 24791,
      "title": "Ohh no... Santander again....",
      "comment_count": 7,
      "views": 2424,
      "votes": 26
    },
    {
      "id": 25167,
      "title": "What is the approach people are taking?",
      "comment_count": 1,
      "views": 571,
      "votes": 1
    },
    {
      "id": 25122,
      "title": "Max possible lb score",
      "comment_count": 4,
      "views": 931,
      "votes": null
    },
    {
      "id": 25179,
      "title": "Field Descriptions (Payroll, Pension, Particular)",
      "comment_count": 1,
      "views": 478,
      "votes": null
    },
    {
      "id": 24940,
      "title": "What they already had at 2016-05-28",
      "comment_count": 8,
      "views": 1409,
      "votes": 4
    },
    {
      "id": 24897,
      "title": "Frequent 1 -> 0 transition for credit cards?",
      "comment_count": 7,
      "views": 693,
      "votes": 4
    },
    {
      "id": 24859,
      "title": "Is the evaluation metric useful?",
      "comment_count": 22,
      "views": 2454,
      "votes": 6
    },
    {
      "id": 25076,
      "title": "how to increase performance",
      "comment_count": 2,
      "views": 454,
      "votes": null
    },
    {
      "id": 25063,
      "title": "Bias in test set? CV and leaderboard differ quite a lot.",
      "comment_count": 1,
      "views": 428,
      "votes": 1
    },
    {
      "id": 25091,
      "title": "Predict multiple vriables",
      "comment_count": 1,
      "views": 285,
      "votes": 1
    },
    {
      "id": 24845,
      "title": "Data Processing Tips?",
      "comment_count": 13,
      "views": 2009,
      "votes": 2
    },
    {
      "id": 25090,
      "title": "Predicte multiple vriables",
      "comment_count": 0,
      "views": 123,
      "votes": 0
    },
    {
      "id": 25087,
      "title": "Test Data - Target Variable",
      "comment_count": 4,
      "views": 290,
      "votes": null
    },
    {
      "id": 24879,
      "title": "Antiguedad (Customer Seniority) Not Increasing Every Month?",
      "comment_count": 4,
      "views": 833,
      "votes": 8
    },
    {
      "id": 24995,
      "title": "Any SQL Experts?",
      "comment_count": 1,
      "views": 272,
      "votes": 3
    },
    {
      "id": 25022,
      "title": "Background",
      "comment_count": 1,
      "views": 265,
      "votes": null
    },
    {
      "id": 24978,
      "title": "Replace all 'NA' values with 0?",
      "comment_count": 3,
      "views": 402,
      "votes": null
    },
    {
      "id": 24855,
      "title": "Anyone Looking for team members",
      "comment_count": 3,
      "views": 343,
      "votes": 1
    },
    {
      "id": 24842,
      "title": "How to submit multiple products?",
      "comment_count": 4,
      "views": 735,
      "votes": 5
    },
    {
      "id": 24998,
      "title": "question about variable: conyuemp",
      "comment_count": 3,
      "views": 260,
      "votes": null
    },
    {
      "id": 24802,
      "title": "Can this data be used for academic purposes?",
      "comment_count": 2,
      "views": 565,
      "votes": 2
    },
    {
      "id": 24863,
      "title": "Test set including customers with no new products?",
      "comment_count": 3,
      "views": 762,
      "votes": 5
    },
    {
      "id": 24949,
      "title": "Categorical vs Continuous?",
      "comment_count": 1,
      "views": 372,
      "votes": null
    },
    {
      "id": 24941,
      "title": "Column Descriptions in english?",
      "comment_count": 1,
      "views": 269,
      "votes": null
    },
    {
      "id": 24935,
      "title": "Question about NB, RF, LogRegression here",
      "comment_count": 2,
      "views": 381,
      "votes": null
    },
    {
      "id": 24905,
      "title": "Q: Example of a complete data row",
      "comment_count": 5,
      "views": 536,
      "votes": null
    },
    {
      "id": 24856,
      "title": "Question about the data",
      "comment_count": 3,
      "views": 703,
      "votes": 3
    },
    {
      "id": 24852,
      "title": "intuition behind MAP@7 evaluation metric?",
      "comment_count": 3,
      "views": 1148,
      "votes": null
    },
    {
      "id": 24918,
      "title": "use the data for a cs master thesis work",
      "comment_count": 0,
      "views": 217,
      "votes": 0
    },
    {
      "id": 24849,
      "title": "Public / Private LB Split",
      "comment_count": 1,
      "views": 411,
      "votes": 3
    },
    {
      "id": 24892,
      "title": "Can we replace the \"antiguedad\" negative value ? ",
      "comment_count": 3,
      "views": 381,
      "votes": null
    },
    {
      "id": 24880,
      "title": "Number of clients for each timestamp differs",
      "comment_count": 2,
      "views": 340,
      "votes": null
    },
    {
      "id": 24865,
      "title": "Is it a good method ? - knowledge purpose only",
      "comment_count": 2,
      "views": 628,
      "votes": null
    },
    {
      "id": 24797,
      "title": "Holy Cow! Everybody got it so wrong.",
      "comment_count": 2,
      "views": 1737,
      "votes": 4
    }
  ],
  "errors": []
}