{
  "total": 226,
  "topics": [
    {
      "id": 55299,
      "title": "Welcome!",
      "comment_count": 57,
      "views": 0,
      "votes": 28,
      "reused": true
    },
    {
      "id": 55897,
      "title": "Official External Data Thread",
      "comment_count": 43,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 59880,
      "title": "\"Dance with Ensemble\" Sharing Thread",
      "comment_count": 92,
      "views": 0,
      "votes": 257,
      "reused": true
    },
    {
      "id": 59885,
      "title": "3 place solution",
      "comment_count": 29,
      "views": 0,
      "votes": 123,
      "reused": true
    },
    {
      "id": 57136,
      "title": "NAN in loss of Keras NN? help!",
      "comment_count": 18,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 55404,
      "title": "Predicting Clicks on Ads - paper from Facebook team",
      "comment_count": 1,
      "views": 0,
      "votes": 19,
      "reused": true
    },
    {
      "id": 58819,
      "title": "TFidfVectorizer: ngram_range",
      "comment_count": 10,
      "views": 0,
      "votes": 10,
      "reused": true
    },
    {
      "id": 56852,
      "title": "Kaggle kernel LightGBM gpu",
      "comment_count": 14,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 55521,
      "title": "Sample categorical feature encoding methods",
      "comment_count": 15,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 55328,
      "title": "How to deal with Russian text features?",
      "comment_count": 23,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 59871,
      "title": "second place solution",
      "comment_count": 52,
      "views": 0,
      "votes": 164,
      "reused": true
    },
    {
      "id": 58338,
      "title": "Error while submitting the solution",
      "comment_count": 9,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 93117,
      "title": "Failed to load the data",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 92740,
      "title": "Overfitting Insights",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 59104,
      "title": "Dense vs Sparse vs lightgbm.Dataset vs xgb.DMatrix. Could someone clarify some things?",
      "comment_count": 8,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 57094,
      "title": "How can we specify categorical features in XGB without one-hot encoding?",
      "comment_count": 7,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 58452,
      "title": "LightGBM on GPU kaggle kernel",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 59917,
      "title": "share my NN solution.",
      "comment_count": 13,
      "views": 0,
      "votes": 56,
      "reused": true
    },
    {
      "id": 71326,
      "title": "Can I use the data for personal purpose?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 59886,
      "title": "The last gold solution",
      "comment_count": 19,
      "views": 0,
      "votes": 66,
      "reused": true
    },
    {
      "id": 59902,
      "title": "25th place solution",
      "comment_count": 20,
      "views": 0,
      "votes": 64,
      "reused": true
    },
    {
      "id": 67590,
      "title": "Running Kernels on Kaggle",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 56678,
      "title": "Ideas for Image Features",
      "comment_count": 19,
      "views": 0,
      "votes": 35,
      "reused": true
    },
    {
      "id": 66035,
      "title": "Master thesis: Survey companies about Kaggle competitions",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58093,
      "title": "How long can a kernel run?",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 59786,
      "title": "Vote of Thanks and Lessons Learnt",
      "comment_count": 18,
      "views": 0,
      "votes": 61,
      "reused": true
    },
    {
      "id": 65172,
      "title": "Notes from my submission",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 61186,
      "title": "Bronze solution with github link",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 62474,
      "title": "My First Kaggle Competition: A silver solution (83rd place)",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 59914,
      "title": "5th place solution",
      "comment_count": 29,
      "views": 0,
      "votes": 71,
      "reused": true
    },
    {
      "id": 61307,
      "title": "Sharing my solution",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 60546,
      "title": "51st place solution",
      "comment_count": 0,
      "views": 0,
      "votes": 15
    },
    {
      "id": 60059,
      "title": "14th Place Solution: The Almost Golden Defenders",
      "comment_count": 7,
      "views": 0,
      "votes": 41,
      "reused": true
    },
    {
      "id": 60154,
      "title": "11th Solution Overview ",
      "comment_count": 6,
      "views": 0,
      "votes": 38,
      "reused": true
    },
    {
      "id": 59881,
      "title": "4th Place Solution",
      "comment_count": 31,
      "views": 0,
      "votes": 115,
      "reused": true
    },
    {
      "id": 60102,
      "title": "22nd place solution [Team NoVices]",
      "comment_count": 1,
      "views": 0,
      "votes": 21,
      "reused": true
    },
    {
      "id": 59959,
      "title": "A silver solution (31st place)",
      "comment_count": 9,
      "views": 0,
      "votes": 27,
      "reused": true
    },
    {
      "id": 59865,
      "title": "Good luck )) I hope in future we'll see many interest competitions, where different areas of Machine learning meet. It is very interest to work both with tabular data, natural language processing and computer vision problem at the same time",
      "comment_count": 1,
      "views": 0,
      "votes": 23
    },
    {
      "id": 60026,
      "title": "7th place solution",
      "comment_count": 6,
      "views": 0,
      "votes": 33,
      "reused": true
    },
    {
      "id": 59898,
      "title": "How Long is the Wait?",
      "comment_count": 8,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 59876,
      "title": "Features around price-competitiveness of an ad.",
      "comment_count": 12,
      "views": 0,
      "votes": 21,
      "reused": true
    },
    {
      "id": 59963,
      "title": "Optimal linear ensemble with LB RMSEs",
      "comment_count": 2,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 60006,
      "title": "Our 30th Solution: In which our heroes tried Quantum Gravity, Adaptive Noise and other cool stuff…",
      "comment_count": 1,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 60005,
      "title": "Place 40, tried to get something from train_active and test_active with DAE",
      "comment_count": 0,
      "views": 0,
      "votes": 15
    },
    {
      "id": 59922,
      "title": "The way to the 18th place, just for rookies.",
      "comment_count": 7,
      "views": 0,
      "votes": 38,
      "reused": true
    },
    {
      "id": 59936,
      "title": "20th place solution",
      "comment_count": 3,
      "views": 0,
      "votes": 27,
      "reused": true
    },
    {
      "id": 59899,
      "title": "37th place solution",
      "comment_count": 1,
      "views": 0,
      "votes": 36,
      "reused": true
    },
    {
      "id": 59872,
      "title": "35th place: squeezing out the last -0.0011 RMSE",
      "comment_count": 21,
      "views": 0,
      "votes": 51,
      "reused": true
    },
    {
      "id": 59848,
      "title": "Good night and good luck",
      "comment_count": 20,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 59895,
      "title": "CV & Time-Series Split Target Encoding and some other codes",
      "comment_count": 2,
      "views": 0,
      "votes": 23,
      "reused": true
    },
    {
      "id": 59893,
      "title": "Anyone found Pseudo-labeling useful for this competition?",
      "comment_count": 3,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 59894,
      "title": "How did you fill missing values ? ",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 59875,
      "title": "What a great comptetition to start the kaggle journey! ",
      "comment_count": 10,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 59415,
      "title": "Boosting the scores beyond 0.221X",
      "comment_count": 14,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 59889,
      "title": "Public my image features script",
      "comment_count": 0,
      "views": 0,
      "votes": 7
    },
    {
      "id": 59834,
      "title": "Celebrate my first kaggle journey ",
      "comment_count": 13,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 59771,
      "title": "How to identify if model catches signals or noises from features?",
      "comment_count": 7,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 59850,
      "title": "Be Careful with Submission Selection",
      "comment_count": 2,
      "views": 0,
      "votes": 31,
      "reused": true
    },
    {
      "id": 59858,
      "title": "A question about original probability.",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 59728,
      "title": "Best NN score ？",
      "comment_count": 2,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 59810,
      "title": "Winners or Overfitting?",
      "comment_count": 10,
      "views": 0,
      "votes": -2,
      "reused": true
    },
    {
      "id": 59835,
      "title": "why lgbm get better cv score when I do not specify which columns is categorical feature",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 59720,
      "title": "should do stacking early",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 59696,
      "title": "Is stacking working for you?",
      "comment_count": 22,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 59825,
      "title": "Slack is down",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 59414,
      "title": "About image features & Image_top_1 features",
      "comment_count": 22,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 59756,
      "title": "Clipping deal probability. ",
      "comment_count": 7,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 59192,
      "title": "A gentle reminder",
      "comment_count": 19,
      "views": 0,
      "votes": 44,
      "reused": true
    },
    {
      "id": 59790,
      "title": "Several questions on the method used",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 56346,
      "title": "Validation strategy",
      "comment_count": 37,
      "views": 0,
      "votes": 29,
      "reused": true
    },
    {
      "id": 59507,
      "title": "Commit and run is getting failed no. of times",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 59688,
      "title": "Tomorrow is the last day?",
      "comment_count": 4,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 59636,
      "title": "I faced problem to loading kernel any one face same???",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 59528,
      "title": "Rules on Blending",
      "comment_count": 5,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 57085,
      "title": "Best Neural Network Model and structure",
      "comment_count": 61,
      "views": 0,
      "votes": 25,
      "reused": true
    },
    {
      "id": 59335,
      "title": "Xgboost!",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 59446,
      "title": "Add more features,but score and CV not change",
      "comment_count": 7,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 58741,
      "title": "Are image features helping",
      "comment_count": 19,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 58920,
      "title": "An LGBM Objective change that might bring you significant improvement",
      "comment_count": 14,
      "views": 0,
      "votes": 24,
      "reused": true
    },
    {
      "id": 59385,
      "title": "I'm getting an error during submitting submission file.",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 56816,
      "title": "Best single model",
      "comment_count": 250,
      "views": 0,
      "votes": 47,
      "reused": true
    },
    {
      "id": 58996,
      "title": "how do you create the validation set for this competition?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 59190,
      "title": "Looking for teammate",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 59306,
      "title": "looking for teammates in a hurry!! ",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 59251,
      "title": "Looking for teammate",
      "comment_count": 4,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 58948,
      "title": "Deal Probability Strange Findings",
      "comment_count": 9,
      "views": 0,
      "votes": 30,
      "reused": true
    },
    {
      "id": 58975,
      "title": "Some images in train_jpg throwing error when they are being fetched..",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 58942,
      "title": "Any method to accelerate image feature extraction",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 57034,
      "title": "Congratulations to Bojan for becoming Discussion Grandmaster",
      "comment_count": 37,
      "views": 0,
      "votes": 44,
      "reused": true
    },
    {
      "id": 59236,
      "title": "Idea of using user_id columns",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58918,
      "title": "How to find a important feature ?",
      "comment_count": 8,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 59015,
      "title": "Looking for teammates.",
      "comment_count": 22,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 59129,
      "title": "Kernel log message and version comparison bug",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 59027,
      "title": "Looking for teammates.",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 59041,
      "title": "could you share your lgbm paramter settings? ",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 56605,
      "title": "Any advice to use train/test_active.csv?",
      "comment_count": 11,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 58671,
      "title": "What's your strategy to fill na of prices?",
      "comment_count": 6,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 59022,
      "title": "I wonder the limitation score without image features using lgb or nn",
      "comment_count": 8,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 59007,
      "title": "Looking for a friendly teammate ",
      "comment_count": 1,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 57299,
      "title": "Attention Layer for NN ",
      "comment_count": 6,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 56537,
      "title": "Time ads was active - periods_train.csv",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 58725,
      "title": "Looking for a team (0.2195 LightGBM single models)",
      "comment_count": 23,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 58880,
      "title": "SVD: the concept",
      "comment_count": 7,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 58560,
      "title": "Do I need GPU or cloud computation?",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 58930,
      "title": "Resources to learn stacking",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 58765,
      "title": "unpredictable keras and unreproducible results",
      "comment_count": 5,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 58705,
      "title": "Open position in our team",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 58240,
      "title": "looking for teammate",
      "comment_count": 38,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 56531,
      "title": "Deal probability isn't what you think it is",
      "comment_count": 11,
      "views": 0,
      "votes": 38,
      "reused": true
    },
    {
      "id": 58674,
      "title": "New user_id feature?",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 58146,
      "title": "looking for teammate",
      "comment_count": 14,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 58581,
      "title": "Looking for partners",
      "comment_count": 8,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 56418,
      "title": "Correct me if I'm wrong...",
      "comment_count": 6,
      "views": 0,
      "votes": 30,
      "reused": true
    },
    {
      "id": 57410,
      "title": "Using the active data to train a price model",
      "comment_count": 11,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 58595,
      "title": "teams at 6-21 maybe 1962",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 58552,
      "title": "Looking for teammate | Bringing text features",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 58377,
      "title": "Tuning final scores with several results, and about RMSE score",
      "comment_count": 8,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 57792,
      "title": "What is your strategy to win?",
      "comment_count": 11,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 58501,
      "title": "Issues with self-embedding",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 58395,
      "title": "Mean Target Value (MTV) based feature engineering have performed better than one hot encoding (OHE). Any reason why?",
      "comment_count": 2,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 58346,
      "title": "How use activate_train and activate_test?",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 58349,
      "title": "Most number of Features",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 57852,
      "title": "DeViSE: Training text and images together",
      "comment_count": 4,
      "views": 0,
      "votes": 16,
      "reused": true
    },
    {
      "id": 58232,
      "title": "TFIDF makes LGBM  worse?",
      "comment_count": 7,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 57893,
      "title": "Four images in train data has zero size.",
      "comment_count": 6,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 58023,
      "title": "How to process",
      "comment_count": 5,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 58133,
      "title": "Unable To Load Data From Other Kernels",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 57119,
      "title": "Top10 feature sharing",
      "comment_count": 17,
      "views": 0,
      "votes": 31,
      "reused": true
    },
    {
      "id": 57809,
      "title": "Need help with Wordbatch and FM_FTRL",
      "comment_count": 8,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 55543,
      "title": "Bad Images",
      "comment_count": 4,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 56631,
      "title": "Is kaggle competition all about blending ?",
      "comment_count": 31,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 57000,
      "title": "Difference Between Linear Regression and Gradient Boosting",
      "comment_count": 16,
      "views": 0,
      "votes": 12,
      "reused": true
    },
    {
      "id": 57605,
      "title": "New Uer",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 57570,
      "title": "Maybe you can try LDA...",
      "comment_count": 17,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 55315,
      "title": "How to deal with image data?",
      "comment_count": 15,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 57743,
      "title": "Why do this competition use deal_probability as a target?",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 56693,
      "title": "What does the field 'item_seq_number' mean ?",
      "comment_count": 8,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 57520,
      "title": "Planning to submit a research paper on this challenge",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 56576,
      "title": "Good score by just using train.csv & test.csv?",
      "comment_count": 21,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 57510,
      "title": "Running KFOLD with RNN - For Beginners ",
      "comment_count": 6,
      "views": 0,
      "votes": 19,
      "reused": true
    },
    {
      "id": 57293,
      "title": "NN Embeddings - What Works and What Doesn't?",
      "comment_count": 10,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 57407,
      "title": "Why the range of embedding make so much difference ?",
      "comment_count": 6,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 57399,
      "title": "How many languages in the description field?",
      "comment_count": 2,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 57473,
      "title": "Writing log file with Russian Characters",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 57250,
      "title": "Boosting overfits by a great amount",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 57413,
      "title": "Score difference between local score and final score",
      "comment_count": 7,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 57394,
      "title": "Want to discuss on how to process image features",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 57388,
      "title": "Image_top_1 possible explanation",
      "comment_count": 4,
      "views": 0,
      "votes": 8,
      "reused": true
    },
    {
      "id": 57307,
      "title": "Exceeding Memory Limitations",
      "comment_count": 6,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 57246,
      "title": "how many image files are there in train_jpg.zip?",
      "comment_count": 6,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 56001,
      "title": "Open Solution Journal [LB 0.2248]",
      "comment_count": 6,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 57138,
      "title": "Alexa",
      "comment_count": 3,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 56915,
      "title": "LightGMB and categorical features - am I overfitting?",
      "comment_count": 11,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 57086,
      "title": "user_id embedding woes",
      "comment_count": 7,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 57222,
      "title": "Russia City&Region Population",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 56695,
      "title": "Using train_active to train text features",
      "comment_count": 7,
      "views": 0,
      "votes": 24,
      "reused": true
    },
    {
      "id": 57163,
      "title": "What does the item_id in periods_train.csv mean?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 56798,
      "title": "tfidf dense feature vs tfidf SVD component feature",
      "comment_count": 6,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 57103,
      "title": "Best partial model (no periods, no active, no images)",
      "comment_count": 2,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 57102,
      "title": "0.2276 - Keras RNN with FastText Embeddings - Starter - Much scope for Improvement",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 56986,
      "title": "Iteration cycles, Hyper-parameter tuning",
      "comment_count": 2,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 56897,
      "title": "tf-idf embeddings",
      "comment_count": 4,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 56076,
      "title": "Is this really a CTR Prediction Challenge? ",
      "comment_count": 5,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 56459,
      "title": "item_seq_number?",
      "comment_count": 7,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 56729,
      "title": "whats the cost-efficient way to run this big GB data?",
      "comment_count": 6,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 56930,
      "title": "Clean description",
      "comment_count": 2,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 56079,
      "title": "image-top-1",
      "comment_count": 9,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 56626,
      "title": "Isotonic Regression",
      "comment_count": 10,
      "views": 0,
      "votes": 19,
      "reused": true
    },
    {
      "id": 56550,
      "title": "How to handle FE with a train/val/test split?",
      "comment_count": 8,
      "views": 0,
      "votes": 7,
      "reused": true
    },
    {
      "id": 55960,
      "title": "Looking for team mates",
      "comment_count": 44,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 56738,
      "title": "Question about Fork Notebook",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 55798,
      "title": "Historical weather data",
      "comment_count": 8,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 56670,
      "title": "Loading VGG16 Features",
      "comment_count": 4,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 56677,
      "title": "CPU 100% load",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 56315,
      "title": "Anyone looking for team?",
      "comment_count": 7,
      "views": 0,
      "votes": 3,
      "reused": true
    },
    {
      "id": 56525,
      "title": "Pretrained word embeddings as text features",
      "comment_count": 1,
      "views": 0,
      "votes": 14,
      "reused": true
    },
    {
      "id": 56061,
      "title": "Russian [ods.ai] guys will smash the (top) LB ?",
      "comment_count": 22,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 56533,
      "title": "How the 'deal_probability' is calculated?",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 56595,
      "title": "user_id column in train mapped with item_id in periods_train",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 56549,
      "title": "Negative predicted values with Light GBM",
      "comment_count": 4,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 56463,
      "title": "What happened in 3-29 to 4-7?",
      "comment_count": 6,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 56440,
      "title": "A bit funky",
      "comment_count": 7,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 55432,
      "title": "File Structures/ Data types and #nulls",
      "comment_count": 5,
      "views": 0,
      "votes": 28,
      "reused": true
    },
    {
      "id": 56465,
      "title": "Can I use pre-trained open source image recognition models?",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 55503,
      "title": "External Data Thread",
      "comment_count": 3,
      "views": 0,
      "votes": 18,
      "reused": true
    },
    {
      "id": 56350,
      "title": "Ligthgbm with GPU support",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 56355,
      "title": "Small dash shell to download data set",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 56398,
      "title": "image_top_1",
      "comment_count": 2,
      "views": 0,
      "votes": -1,
      "reused": true
    },
    {
      "id": 56383,
      "title": "Kernels problem",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 56408,
      "title": "How To Deal With Russian Language?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 56306,
      "title": "Can we expect test_active/train_active with image_top_1?",
      "comment_count": 2,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 56209,
      "title": "Is it all about text features and model tuning?",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 56292,
      "title": "find returns for an ad ",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 56117,
      "title": "How to extract feature from user_id",
      "comment_count": 6,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 55778,
      "title": "Translation helper script for Titles and Descriptions",
      "comment_count": 3,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 55981,
      "title": "How to go about training a model with images?",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 56132,
      "title": "Most Deal Probability happened for missing values",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 55630,
      "title": "Include both Region and City params or just one?",
      "comment_count": 7,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 55931,
      "title": "How to use text data and numerical data together as input features?",
      "comment_count": 8,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 55326,
      "title": "Very important feature share with kaggler 0.233 lightgbm",
      "comment_count": 1,
      "views": 0,
      "votes": 11,
      "reused": true
    },
    {
      "id": 55922,
      "title": "Little confusion on verification of deal probability ",
      "comment_count": 4,
      "views": 0,
      "votes": 5,
      "reused": true
    },
    {
      "id": 55822,
      "title": "LB with more digits?",
      "comment_count": 8,
      "views": 0,
      "votes": 15,
      "reused": true
    },
    {
      "id": 55942,
      "title": "Master's Thesis",
      "comment_count": 1,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 55512,
      "title": "Looking for team mates",
      "comment_count": 3,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 55856,
      "title": "train active data significance",
      "comment_count": 2,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 55898,
      "title": "Smaller zip files for train_jpg now available",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 55535,
      "title": "Deal Probabilities",
      "comment_count": 2,
      "views": 0,
      "votes": 9,
      "reused": true
    },
    {
      "id": 55762,
      "title": "Missing jpg file",
      "comment_count": 1,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 55819,
      "title": "image_top_1",
      "comment_count": 1,
      "views": 0,
      "votes": 6,
      "reused": true
    },
    {
      "id": 55511,
      "title": "Russian language not being recognized in CSV and also by R! ",
      "comment_count": 12,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 55439,
      "title": "Torrent",
      "comment_count": 9,
      "views": 0,
      "votes": 13,
      "reused": true
    },
    {
      "id": 55652,
      "title": "Will deal_probability be published for test data?",
      "comment_count": 1,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 55491,
      "title": "Is knowing Russian an advantage here?",
      "comment_count": 8,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 55436,
      "title": "Human annotation rules",
      "comment_count": 11,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 55559,
      "title": "can kernel handles image data?",
      "comment_count": 5,
      "views": 0,
      "votes": 1,
      "reused": true
    },
    {
      "id": 55587,
      "title": "Validation Approaches",
      "comment_count": 2,
      "views": 0,
      "votes": 4,
      "reused": true
    },
    {
      "id": 55411,
      "title": "Resolving Item ID errors for submission",
      "comment_count": 7,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 55571,
      "title": "Kernel time limits?",
      "comment_count": 8,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 55562,
      "title": "Why kaggle kernel can access network?",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 55391,
      "title": "Joining Text and numeric",
      "comment_count": 3,
      "views": 0,
      "votes": 2,
      "reused": true
    },
    {
      "id": 55510,
      "title": "pkg_resources",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 55427,
      "title": "Can we Use Tensorflow kind of libraries here",
      "comment_count": 4,
      "views": 0,
      "votes": null,
      "reused": true
    },
    {
      "id": 55471,
      "title": "Files checksum",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 55460,
      "title": "Random Forest Benchmark",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 55455,
      "title": "Cyrillic alphabet to latin",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 55452,
      "title": "Looking for a team/individual to team up",
      "comment_count": 1,
      "views": 0,
      "votes": 1,
      "reused": true
    }
  ],
  "errors": []
}