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    {
      "id": 140383,
      "title": "2nd-Place-solution [xDeepFM Yes!]",
      "comment_count": 5,
      "views": 0,
      "votes": 18
    },
    {
      "id": 151914,
      "title": "How to encode a categorical variable with larger values(approx 600 or more) for Decision Tree Based ensembles such as RF,XGB for regression based prediction? ",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 140345,
      "title": "Improvements to get score 0.78797",
      "comment_count": 17,
      "views": 0,
      "votes": 15
    },
    {
      "id": 142077,
      "title": "Bloqued at 0.55%",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 140082,
      "title": "A VERY SIMPLE APPROACH.....POWER OF LOGISTIC REGRESSION(0.78069 on LB)",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 139975,
      "title": "Are day and month cyclical?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 136020,
      "title": "methods of handling imbalance classification",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 129551,
      "title": "AS for adversarial validation, this is serious problem",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 132185,
      "title": "Don't round your predictions!",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 137578,
      "title": "Month-day target ratios. Is it relevant?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 135711,
      "title": "leakage !",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 134889,
      "title": "KNNImputer on a large dataframe",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 134763,
      "title": "Problem with my scores",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 134909,
      "title": "Data Dictionary",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 134094,
      "title": "Tuning parameter by 'lightgbm_tuner'",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 129555,
      "title": "Ensemble of 3 Models",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 132106,
      "title": "What is Target Encoding",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 131650,
      "title": "Newbie Question about Ensembling",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 131231,
      "title": "Weird error ",
      "comment_count": 7,
      "views": 0,
      "votes": null
    },
    {
      "id": 130788,
      "title": "Kaggler TV pipeline demo & more",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 131221,
      "title": "How to train an ML model with lots of various features generated from FE? ",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 130826,
      "title": "Earning Discussion Medals?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 129631,
      "title": "Complex Math",
      "comment_count": 14,
      "views": 0,
      "votes": 6
    },
    {
      "id": 130034,
      "title": "Neural networks ? ",
      "comment_count": 24,
      "views": 0,
      "votes": 2
    },
    {
      "id": 124217,
      "title": "Categorical feature encoding with TensorFlow",
      "comment_count": 2,
      "views": 0,
      "votes": 17
    },
    {
      "id": 124501,
      "title": "Any interaction?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 130241,
      "title": "Indeed,smoothing  helps target encoding",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 124844,
      "title": "Drop in AUC Expected?",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 124260,
      "title": "The missing values are the key for the solution ...",
      "comment_count": 9,
      "views": 0,
      "votes": 7
    },
    {
      "id": 129964,
      "title": "Are data from previous competition usefull?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 129488,
      "title": "LibFFM Field-Aware factorization machine",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 129774,
      "title": "Structured approach to Pipeline and Grid Search",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 127015,
      "title": "Cluster analysis with categorical variables",
      "comment_count": 9,
      "views": 0,
      "votes": 6
    },
    {
      "id": 126616,
      "title": "Maybe hashed features are correlated.",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 126433,
      "title": "What can one do of \"day\" and \"month\" !",
      "comment_count": 11,
      "views": 0,
      "votes": 5
    },
    {
      "id": 129249,
      "title": "Pseudo-Labelling",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 123970,
      "title": "Welcome to Cat Feature Encoding Challenge II.",
      "comment_count": 14,
      "views": 0,
      "votes": 3
    },
    {
      "id": 128403,
      "title": "lb goes with cv",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 126862,
      "title": "Fancy imputation?",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 124167,
      "title": "What do we expect to see with: \"(and interactions!)\"",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 125998,
      "title": "Next Steps after Best Performing Models/Variable Importance",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 124640,
      "title": "Very little notebooks in R. Is Phyton best to machine learning?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 125153,
      "title": "Top Notebook from Categorical Feature Encoding Challenge I",
      "comment_count": 1,
      "views": 0,
      "votes": 17
    },
    {
      "id": 124773,
      "title": "CATEGORICAL MATERIAL SURVEY🐱 & Record Linkage. ",
      "comment_count": 13,
      "views": 0,
      "votes": 15
    }
  ],
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      "id": 140465,
      "error": "topic 140465 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
    },
    {
      "id": 139804,
      "error": "topic 139804 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
    },
    {
      "id": 140962,
      "error": "topic 140962 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
    },
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      "id": 138053,
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    },
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      "id": 140009,
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    },
    {
      "id": 130393,
      "error": "topic 130393 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
    },
    {
      "id": 137055,
      "error": "topic 137055 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
    },
    {
      "id": 134163,
      "error": "topic 134163 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
    },
    {
      "id": 126199,
      "error": "topic 126199 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
    },
    {
      "id": 130914,
      "error": "topic 130914 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
    },
    {
      "id": 131077,
      "error": "topic 131077 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
    },
    {
      "id": 130267,
      "error": "topic 130267 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
    },
    {
      "id": 129954,
      "error": "topic 129954 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
    },
    {
      "id": 129653,
      "error": "topic 129653 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
    },
    {
      "id": 129129,
      "error": "topic 129129 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
    },
    {
      "id": 125999,
      "error": "topic 125999 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
    },
    {
      "id": 125997,
      "error": "topic 125997 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
    },
    {
      "id": 125517,
      "error": "topic 125517 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
    },
    {
      "id": 124733,
      "error": "topic 124733 comments still failing after 3 tries (HTTP 429 body_len 82); not treating it as empty"
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  ]
}