{
  "total": 85,
  "topics": [
    {
      "id": 335654,
      "title": "About ouliers!",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 256564,
      "title": "Curse of dimensionality (Feature Extraction Techniques)",
      "comment_count": 3,
      "views": 0,
      "votes": 16
    },
    {
      "id": 261651,
      "title": "8 features selection techniques worth trying.",
      "comment_count": 9,
      "views": 0,
      "votes": 18
    },
    {
      "id": 258009,
      "title": "[TPS Aug 2021] Things worth trying out this month",
      "comment_count": 50,
      "views": 0,
      "votes": 130
    },
    {
      "id": 270051,
      "title": "1st place, pseudocode",
      "comment_count": 12,
      "views": 0,
      "votes": 34
    },
    {
      "id": 269858,
      "title": "Cheers to Solvers Club",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 269495,
      "title": "Congrats for the TPS Aug 2021 community",
      "comment_count": 15,
      "views": 0,
      "votes": 31
    },
    {
      "id": 270416,
      "title": "Is this a classification ? problem",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 269302,
      "title": "What are blending tools?",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 269217,
      "title": "What I learnt from TPS Aug '21 as an absolute beginner",
      "comment_count": 9,
      "views": 0,
      "votes": 19
    },
    {
      "id": 269506,
      "title": "My cvs are so close to private lb.",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 269415,
      "title": "Thus the last shall be first and the first last ",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 269564,
      "title": "Thanks to Kaggle Community!",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 264318,
      "title": "[TPS Aug 2021] Things I learnt this month and key takeaways!",
      "comment_count": 9,
      "views": 0,
      "votes": 12
    },
    {
      "id": 268460,
      "title": "Is it a good idea to use ensembled model with nueral network and boosting techniques?",
      "comment_count": 10,
      "views": 0,
      "votes": 3
    },
    {
      "id": 267704,
      "title": "Is Pca worth trying ?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 268325,
      "title": "Pseudolabel implementation",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 265453,
      "title": "Deleted accounts in LB",
      "comment_count": 10,
      "views": 0,
      "votes": 31
    },
    {
      "id": 266599,
      "title": "Some doubts in the approaches seen",
      "comment_count": 9,
      "views": 0,
      "votes": 9
    },
    {
      "id": 267399,
      "title": "Please check my notebook and give me inputs for improvement",
      "comment_count": 8,
      "views": 0,
      "votes": null
    },
    {
      "id": 266881,
      "title": "When should we do k-fold cross validation in general?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 266743,
      "title": "my predicted loss distribution is way off from true loss",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 265717,
      "title": " Rookie question . Model train time greater than 1 hour , and session time out's if not active how to overcome this .?",
      "comment_count": 20,
      "views": 0,
      "votes": 4
    },
    {
      "id": 267712,
      "title": "Why Neural networks have a relatively weak inductive bias?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 267390,
      "title": "Dose StratifiedKFold is better than KFold?",
      "comment_count": 8,
      "views": 0,
      "votes": 2
    },
    {
      "id": 266055,
      "title": "MinMaxScaler or StandardScaler ?",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 262736,
      "title": "Rookie Mistake to avoid while creating your model",
      "comment_count": 6,
      "views": 0,
      "votes": 12
    },
    {
      "id": 267393,
      "title": "Some of new tools to visualizing 👈",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 266321,
      "title": "Right Skewed handling.",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 256376,
      "title": "Similar Competition: Loan Default Prediction - Imperial College London",
      "comment_count": 4,
      "views": 0,
      "votes": 14
    },
    {
      "id": 267669,
      "title": "Real World Approach!🤝✌️💥💥💥🔥 ",
      "comment_count": 0,
      "views": 0,
      "votes": -1
    },
    {
      "id": 265722,
      "title": "Learned a lot but not made progress",
      "comment_count": 12,
      "views": 0,
      "votes": 13
    },
    {
      "id": 263962,
      "title": "[Compilation]Good starter notebooks",
      "comment_count": 10,
      "views": 0,
      "votes": 24
    },
    {
      "id": 265938,
      "title": "Are the features represent some kind of frequencies?",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 266645,
      "title": "Don't forget subsample_freq in LightGBM",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 264439,
      "title": "🎉Congratulations Carl! New Kaggle Discussion Grandmaster 🙌🌟",
      "comment_count": 7,
      "views": 0,
      "votes": 23
    },
    {
      "id": 266611,
      "title": "My Error Scores Are Zero-- Can't be!",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 264112,
      "title": "Best score for NN",
      "comment_count": 4,
      "views": 0,
      "votes": 4
    },
    {
      "id": 266233,
      "title": "Does i overfit? i got worse LB than my CV score.",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 266033,
      "title": "Beginner's Approach",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 264107,
      "title": "Can we beat Psychological point 7.5 ?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 264781,
      "title": "Try to use the Poisson distribution model",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 265472,
      "title": "How to improve your basic result of the model ?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 263862,
      "title": "Are the models throwing noise?",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 256355,
      "title": "To within 5% in 5 minutes?",
      "comment_count": 30,
      "views": 0,
      "votes": 44
    },
    {
      "id": 256640,
      "title": "New to XGBoost for Regression? ",
      "comment_count": 10,
      "views": 0,
      "votes": 23
    },
    {
      "id": 262129,
      "title": "The Regularized Greedy Forest estimator",
      "comment_count": 8,
      "views": 0,
      "votes": 17
    },
    {
      "id": 264405,
      "title": "TPS Vent Session",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 263794,
      "title": "Looking for a teammate for the end of this journey :)",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 263915,
      "title": "Is public LB score representitave?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 263647,
      "title": "Why are test losses different than leaderboard losses?",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 264192,
      "title": "Can nn models outperform ML models?",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 262097,
      "title": "Ideas to move forward!",
      "comment_count": 11,
      "views": 0,
      "votes": 12
    },
    {
      "id": 256407,
      "title": "Distribution difference between train label and prediction result",
      "comment_count": 13,
      "views": 0,
      "votes": 15
    },
    {
      "id": 264317,
      "title": "[OFF-TOPIC] tensorflow 2.6",
      "comment_count": 6,
      "views": 0,
      "votes": 0
    },
    {
      "id": 256537,
      "title": "Count Regression - General Linear Models - Poisson and Negative Binomial.",
      "comment_count": 10,
      "views": 0,
      "votes": 24
    },
    {
      "id": 258738,
      "title": "Feature engineering ideas - TPS Aug 2021",
      "comment_count": 9,
      "views": 0,
      "votes": 13
    },
    {
      "id": 263538,
      "title": "Any success with PCA?",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 260782,
      "title": "Classification > Regression?",
      "comment_count": 12,
      "views": 0,
      "votes": 4
    },
    {
      "id": 256337,
      "title": "The problem and target definition + what is loan default and loss given default?",
      "comment_count": 20,
      "views": 0,
      "votes": 65
    },
    {
      "id": 261917,
      "title": "Interpretation of the scores - how much difference is significant?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 263817,
      "title": "This is an artificially generated data ",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 263802,
      "title": "xgboost: Is xgb.cv underestimating the optimal number of trees (rounds)?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 261934,
      "title": "Can Neural Networks beat XGBoost for Regression?",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 260785,
      "title": "Utilizing classification in regression problem",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 261675,
      "title": "Confused about How to Increase Score with Boosting Models?",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 256545,
      "title": "Distribution of loss and what does it mean for us?",
      "comment_count": 15,
      "views": 0,
      "votes": 9
    },
    {
      "id": 262875,
      "title": "rf_benchmark.csv",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 262478,
      "title": "How to use GPU on XGBoost? Can someone help?",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 261520,
      "title": "Why various ML models perform similarly in this compitition?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 262471,
      "title": "Probing the LB",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 261149,
      "title": "CV Technique: StratifiedKFold",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 261216,
      "title": "Before start, let's learn something-",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 256332,
      "title": "Are we predicting classification target?",
      "comment_count": 8,
      "views": 0,
      "votes": 13
    },
    {
      "id": 260916,
      "title": "My Correlation matrix shows data has no meaning, Am I missing something here?",
      "comment_count": 7,
      "views": 0,
      "votes": 1
    },
    {
      "id": 256635,
      "title": "Regression vs. Classification - Resources",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 261875,
      "title": "Autokeras for regression ",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 256430,
      "title": "The target (loss) is not normally distributed",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 261160,
      "title": "Optuna study is getting stuck after a couple of trials...",
      "comment_count": 1,
      "views": 0,
      "votes": -1
    },
    {
      "id": 260048,
      "title": "Some graphs",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 256391,
      "title": "What does the distribution tell us?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 256562,
      "title": "its a classifiction or regression",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 256427,
      "title": "Is this regression or classification",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 256452,
      "title": "What is the best way to in pridect in this data ?",
      "comment_count": 0,
      "views": 0,
      "votes": 0
    },
    {
      "id": 256426,
      "title": "DON'T MESS UP with SVM",
      "comment_count": 0,
      "views": 0,
      "votes": -13
    }
  ],
  "errors": []
}