{
  "total": 199,
  "topics": [
    {
      "id": 269557,
      "title": "Classification using TensorFlow Decision Forests",
      "comment_count": 16,
      "views": 0,
      "votes": 40
    },
    {
      "id": 270651,
      "title": "Tabnet binary classification",
      "comment_count": 8,
      "views": 0,
      "votes": 13
    },
    {
      "id": 270251,
      "title": "Mistakes in hyperparameter tuning in XGBoost, LightGBM, CatBoost",
      "comment_count": 8,
      "views": 0,
      "votes": 42
    },
    {
      "id": 272034,
      "title": "How to Write Powerful Code With Custom Sklearn Transformers",
      "comment_count": 4,
      "views": 0,
      "votes": 19
    },
    {
      "id": 275261,
      "title": "Idea for next TPS",
      "comment_count": 8,
      "views": 0,
      "votes": 7
    },
    {
      "id": 275740,
      "title": "2nd place solution - (A lot of) Stacking",
      "comment_count": 29,
      "views": 0,
      "votes": 79
    },
    {
      "id": 274642,
      "title": "What I learnt from TPS Sept '21 as an absolute beginner",
      "comment_count": 6,
      "views": 0,
      "votes": 24
    },
    {
      "id": 270261,
      "title": "How to perform Hyperparameter Tuning using Optuna for multiple folds?",
      "comment_count": 8,
      "views": 0,
      "votes": 4
    },
    {
      "id": 277256,
      "title": "7th place solution - lots of trial-and-error",
      "comment_count": 5,
      "views": 0,
      "votes": 13
    },
    {
      "id": 275690,
      "title": "6th Place Solution | TPS Sep 2021",
      "comment_count": 8,
      "views": 0,
      "votes": 16
    },
    {
      "id": 271589,
      "title": "Different types of missing values and ways to handle it.👈",
      "comment_count": 7,
      "views": 0,
      "votes": 10
    },
    {
      "id": 275409,
      "title": "Strategy against overfitting",
      "comment_count": 44,
      "views": 0,
      "votes": 18
    },
    {
      "id": 274684,
      "title": "Congratulations Sharlto Cope for becoming Notebooks Grandmaster",
      "comment_count": 72,
      "views": 0,
      "votes": 52
    },
    {
      "id": 276248,
      "title": "My 9th place solution to the September Tabular competition",
      "comment_count": 1,
      "views": 0,
      "votes": 15
    },
    {
      "id": 276141,
      "title": "14th place solution / Single model with different random_states Voting + blending",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 276009,
      "title": "10th Place Method : Moderate? Stacking",
      "comment_count": 15,
      "views": 0,
      "votes": 5
    },
    {
      "id": 276038,
      "title": "24th place solution | Logistic model on top of Ensemble (XGB + Catboost + LGBM)",
      "comment_count": 5,
      "views": 0,
      "votes": 12
    },
    {
      "id": 275597,
      "title": "celebration party for the 3rd position ",
      "comment_count": 13,
      "views": 0,
      "votes": 17
    },
    {
      "id": 275720,
      "title": "45th Place | What I have learnt through TPS- Sep 2021",
      "comment_count": 7,
      "views": 0,
      "votes": 13
    },
    {
      "id": 276012,
      "title": "My two submissions (top 13%)",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 274691,
      "title": "Submit button ??",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 275691,
      "title": "Ensembling vs Hyper parameter tunning",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 275596,
      "title": "GG, congrats TPS September community!",
      "comment_count": 22,
      "views": 0,
      "votes": 9
    },
    {
      "id": 274966,
      "title": "Takeaways from TPS Sep 2021",
      "comment_count": 4,
      "views": 0,
      "votes": 10
    },
    {
      "id": 275423,
      "title": "Correlation Matrix is an art form",
      "comment_count": 12,
      "views": 0,
      "votes": 7
    },
    {
      "id": 270614,
      "title": "💥💥🆕📚 Tips for Newcomers trying their hands in Competitions🥇💥💥",
      "comment_count": 11,
      "views": 0,
      "votes": 12
    },
    {
      "id": 274761,
      "title": "Workflow to follow",
      "comment_count": 12,
      "views": 0,
      "votes": 8
    },
    {
      "id": 275595,
      "title": "Congratulations for everyone ",
      "comment_count": 1,
      "views": 0,
      "votes": 7
    },
    {
      "id": 275706,
      "title": "Stacking in Classification",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 275068,
      "title": "Improving AUC by just adding more models to the blend?",
      "comment_count": 12,
      "views": 0,
      "votes": 8
    },
    {
      "id": 275531,
      "title": "Learnings and links to the topics that can be used in the final hours",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 275599,
      "title": "Trust your CV Score",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 274570,
      "title": "Data Engineering and scoring ",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 275591,
      "title": "What ML Algorithms have You Tried and Learn from this Month ",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 273312,
      "title": "Is null value handing worth persuing?",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 275621,
      "title": "Well done and thanks!",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 275640,
      "title": "Autoencoder Technqiue",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 273515,
      "title": "Be aware : Custom taxes and fee for Kaggle Merchandise !",
      "comment_count": 11,
      "views": 0,
      "votes": 12
    },
    {
      "id": 274627,
      "title": "LGBM on CPU with Tuned Parameters",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 274758,
      "title": "My TPS September 2021 EDA Initial Findings.  Did I miss anything?",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 274062,
      "title": "How many hours per day do You spend on a Competition?",
      "comment_count": 17,
      "views": 0,
      "votes": 9
    },
    {
      "id": 273716,
      "title": "AutoML users, please advise!",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 274239,
      "title": "Have you tried really low colsample?",
      "comment_count": 14,
      "views": 0,
      "votes": 11
    },
    {
      "id": 275095,
      "title": "TPS-Sep21 Competition Ends in (Countdown)",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 275697,
      "title": "My learnings from this month competition",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 271694,
      "title": "random_state: Things you need to know",
      "comment_count": 50,
      "views": 0,
      "votes": 96
    },
    {
      "id": 273968,
      "title": "What I have learned in Tabular Playground Series - Sep 2021",
      "comment_count": 9,
      "views": 0,
      "votes": 21
    },
    {
      "id": 273318,
      "title": "Do we tune the meta-classifier in stacking?",
      "comment_count": 12,
      "views": 0,
      "votes": 8
    },
    {
      "id": 273528,
      "title": "Finding the optimal Bleding weights  with Optuna",
      "comment_count": 21,
      "views": 0,
      "votes": 24
    },
    {
      "id": 274404,
      "title": "Single model with different random_states Voting",
      "comment_count": 4,
      "views": 0,
      "votes": 11
    },
    {
      "id": 273292,
      "title": "AttributeError: 'numpy.ndarray' object has no attribute 'iloc'",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 271500,
      "title": "Having difficulties with missing values in the dataset? Check this compilation.",
      "comment_count": 14,
      "views": 0,
      "votes": 19
    },
    {
      "id": 274586,
      "title": "CRSIPDM_Guide_HistGradientBoostingClassifier_Speed_CV_Parallelism",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 274101,
      "title": "Stuck Leaderboard Score - Suggestions",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 273253,
      "title": "Try power averaging!",
      "comment_count": 26,
      "views": 0,
      "votes": 20
    },
    {
      "id": 274203,
      "title": "Public LB is from the left side, or maybe not?",
      "comment_count": 1,
      "views": 0,
      "votes": 11
    },
    {
      "id": 274271,
      "title": "What does it mean when training score doesn't match submission score?",
      "comment_count": 7,
      "views": 0,
      "votes": 5
    },
    {
      "id": 270046,
      "title": "[Compilation] Good Starter Notebooks",
      "comment_count": 46,
      "views": 0,
      "votes": 85
    },
    {
      "id": 274561,
      "title": "STOP IT! GET SOME HELP",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 273239,
      "title": "Problem in StratifiedKFold last batch",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 273757,
      "title": "Doubt in Adding Features-help! ",
      "comment_count": 9,
      "views": 0,
      "votes": 8
    },
    {
      "id": 274311,
      "title": "GPU with TF 2.6 does not seem to work in a Kaggle kernel :-(",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 274128,
      "title": "Use scipy's rankdata (for 'standardization')",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 274072,
      "title": "Running Kaggle notebooks longer than 45 minutes",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 273787,
      "title": "XGBoost : 2 things you probably didn't know",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 269809,
      "title": "What we know up so far",
      "comment_count": 22,
      "views": 0,
      "votes": 70
    },
    {
      "id": 272592,
      "title": "Not Really Missing at Random",
      "comment_count": 29,
      "views": 0,
      "votes": 41
    },
    {
      "id": 273990,
      "title": "Swapnoise as a Regularizer for Feed Forward Networks",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 272955,
      "title": "Non boosting models with decent ratio of acc/performance?",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 273441,
      "title": "Why using SimpleImputer drops the score significantly?",
      "comment_count": 5,
      "views": 0,
      "votes": 8
    },
    {
      "id": 273808,
      "title": "An unsuccessful attempt to speed up CatBoost by switching from float64 to float32",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 273291,
      "title": "Creating dummy dataset : Things you need to know",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 272895,
      "title": "How do you find correlations between models through submission files?",
      "comment_count": 20,
      "views": 0,
      "votes": 9
    },
    {
      "id": 270747,
      "title": " [TPS Sep 2021] Things I learnt this month and key takeaways!",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 273951,
      "title": "random_state in LightGBM",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 273718,
      "title": "Unable to run the notebook!!! HELP",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 272607,
      "title": "Take Care of Target Leakage When Adding New Features",
      "comment_count": 13,
      "views": 0,
      "votes": 26
    },
    {
      "id": 273065,
      "title": "Decision Tree Outperforms RandomForest",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 272825,
      "title": "Aggregating predict_proba values",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 272994,
      "title": "How Kaggle Generates Data for TPS series !!!",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 272917,
      "title": "Stacking ensemble using stacknet framework.",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 272829,
      "title": " Want to write your own neural network?Check this out.",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 273453,
      "title": "Anyone wants to merge up for this one?",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 272951,
      "title": "Pseudolabelling shows increase in LB score (or maybe overfitting)",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 272684,
      "title": "Try score after averaging the model.predict() and model.predict_proba()  ",
      "comment_count": 11,
      "views": 0,
      "votes": 11
    },
    {
      "id": 272627,
      "title": "Tracking the progress while hyperparameter tuning",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 273721,
      "title": "Notebook not loading :(",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 272759,
      "title": "Pseudo Labelling",
      "comment_count": 7,
      "views": 0,
      "votes": 12
    },
    {
      "id": 272608,
      "title": "How to speed up feature selection?",
      "comment_count": 11,
      "views": 0,
      "votes": 7
    },
    {
      "id": 273397,
      "title": "Speeding up Catboost Training",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 272239,
      "title": "Are there rules to do Staking? (to  avoid overfitting or underfitting)",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 272571,
      "title": "Lessons learnt from Professional experience in Financial Risk Management",
      "comment_count": 2,
      "views": 0,
      "votes": 15
    },
    {
      "id": 269985,
      "title": " \"AUC ROC curve\" for Beginners",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 273287,
      "title": "Data Leakage",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 273235,
      "title": "Baseline XGBoost Model As Good As Flipping a Coin? ",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 273269,
      "title": "Pycaret ! I have error ????",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 272098,
      "title": "Why  XGBoost  is outperforming LGBM ?",
      "comment_count": 10,
      "views": 0,
      "votes": 10
    },
    {
      "id": 272857,
      "title": "Loading the Dataset Directly into Google Colab.",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 270024,
      "title": "[TPS Sep 2021] Things worth trying out this month",
      "comment_count": 9,
      "views": 0,
      "votes": 47
    },
    {
      "id": 272801,
      "title": "Cross_Validation and Select Models take lot of time , let's speed our Code !!!",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 272445,
      "title": "About blending, stacking and ensembling",
      "comment_count": 8,
      "views": 0,
      "votes": 5
    },
    {
      "id": 272933,
      "title": "AutoML ! Best or Better progression 🎉",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 273016,
      "title": "H20 vs pycaret ?",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 271806,
      "title": "kaggle kernel",
      "comment_count": 12,
      "views": 0,
      "votes": 2
    },
    {
      "id": 272611,
      "title": "Ensembling ideas: Types of means",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 272683,
      "title": "Scaling in tree based algorithm",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 270206,
      "title": "Add Number of Nans in A Row as a Feature",
      "comment_count": 38,
      "views": 0,
      "votes": 68
    },
    {
      "id": 271444,
      "title": "How can I work faster on this huge dataset?",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 270989,
      "title": "Light GBM - Very Slow",
      "comment_count": 4,
      "views": 0,
      "votes": 6
    },
    {
      "id": 272147,
      "title": "Predict_Proba issue",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 269621,
      "title": "Loading September Data Over 3 Times Faster with Feather",
      "comment_count": 12,
      "views": 0,
      "votes": 27
    },
    {
      "id": 272524,
      "title": "Majority voting",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 271900,
      "title": "How to Improve Accuracy?",
      "comment_count": 10,
      "views": 0,
      "votes": 5
    },
    {
      "id": 270533,
      "title": "Why doesn't anyone try to implement a neural network?",
      "comment_count": 20,
      "views": 0,
      "votes": 11
    },
    {
      "id": 271481,
      "title": "Best or golden methods for finding feature selection?",
      "comment_count": 9,
      "views": 0,
      "votes": 5
    },
    {
      "id": 271255,
      "title": "Lag input on Kaggle Kernel",
      "comment_count": 5,
      "views": 0,
      "votes": 7
    },
    {
      "id": 272100,
      "title": "What models should you use for ensembling?",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 271066,
      "title": "Reduce memory consumption to 260 MBs (70% reduction)",
      "comment_count": 6,
      "views": 0,
      "votes": 5
    },
    {
      "id": 271423,
      "title": "XGBRegressor",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 269786,
      "title": "How to fill missing data ?",
      "comment_count": 24,
      "views": 0,
      "votes": 14
    },
    {
      "id": 269689,
      "title": "Model-based imputation techniques to try out this month",
      "comment_count": 12,
      "views": 0,
      "votes": 23
    },
    {
      "id": 271936,
      "title": "Optuna: optimize using a small part of the dataset?",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 271344,
      "title": "What to infer from missing values?",
      "comment_count": 8,
      "views": 0,
      "votes": 6
    },
    {
      "id": 272134,
      "title": "Why TensorFlow decision Forest model?",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 269531,
      "title": "Allstate Claims Severity: similar to TPS Sept or not?",
      "comment_count": 7,
      "views": 0,
      "votes": 16
    },
    {
      "id": 272137,
      "title": "Saturation At 81.8",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 269593,
      "title": "WHAT IS ROC AND AUC...? (a small insight)",
      "comment_count": 14,
      "views": 0,
      "votes": 13
    },
    {
      "id": 269591,
      "title": "Beginner's Walkthrough",
      "comment_count": 2,
      "views": 0,
      "votes": 16
    },
    {
      "id": 270899,
      "title": "Feature Engineering Ideas ... So far",
      "comment_count": 9,
      "views": 0,
      "votes": 8
    },
    {
      "id": 271199,
      "title": "Why GPU usage in LIGHTGBM is only 3%?",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 271422,
      "title": "Hyperparameter Optimization for Xgboost",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 269748,
      "title": "What about CTGAN?  With so many F columns! ",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 271707,
      "title": "Imputation & Preprocessing ",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 271311,
      "title": "About The Notebook Timesout",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 271443,
      "title": "Optuna: with dataset original or not?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 270000,
      "title": "Why are they just submit other's output file?",
      "comment_count": 14,
      "views": 0,
      "votes": 18
    },
    {
      "id": 271742,
      "title": "PCA, Should I use it or not ?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 271060,
      "title": "Big difference between CV and LB",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 270847,
      "title": "Is anyone trying KNN to fill in the missing data?",
      "comment_count": 9,
      "views": 0,
      "votes": 8
    },
    {
      "id": 271388,
      "title": "Feature Selection",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 271453,
      "title": "Your Notebook tried to allocate more memory than available. It has been restarted.",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 271604,
      "title": "About tuning the parameters",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 271242,
      "title": "Resource and Application of \"Concept Drift\" and data sets. ",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 270293,
      "title": "how to do stacking for binary classification?",
      "comment_count": 4,
      "views": 0,
      "votes": 5
    },
    {
      "id": 271372,
      "title": "Some question for data preprocessing",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 271150,
      "title": "Speeding up EDA",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 271252,
      "title": "[Doubt] LightGBM + Optuna: Validation score",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 270966,
      "title": "Difference between Kfold, stratifiedkfold ",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 270983,
      "title": "Let's discuss that ID feature",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 271228,
      "title": "LightGBM produces lots of Warnings",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 270616,
      "title": "XGBoost Baseline",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 270732,
      "title": "How to handle training on large dataset",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 270715,
      "title": "Beginner's Approach",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 270653,
      "title": "GPU in Kaggle",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 271012,
      "title": "Preprocessing/Feature Engineering effects on different models",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 270968,
      "title": "About blending/stacking",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 271099,
      "title": "How to check for overfitting?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 270091,
      "title": "Is it necessary to remove skewness for tree based algorihthms?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 270855,
      "title": "Does PCA make sense?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 269922,
      "title": "Does anyone train LGBM with GPU ?",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 270621,
      "title": "BASIC EDA AND LGBM WITH 5 FOLD CV",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 270452,
      "title": "Disable Submission Output Files on Public Notebook",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 270292,
      "title": "Why do some public notebooks have 'claim' values not ranged between 0 and 1 and still have high scores?",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 270092,
      "title": "best way to tune hyperparams without burning al of your GPU quota",
      "comment_count": 9,
      "views": 0,
      "votes": 2
    },
    {
      "id": 270064,
      "title": "TEASER - TPS Sept 2021",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 270635,
      "title": "MinMaxScaler! why?",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 270833,
      "title": "AutoML ! why prefer this ?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 270712,
      "title": "How to output between 0 and 1?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 270312,
      "title": "Lot of AutoML Packages coming in BUT Do they Sustain in Real World Scenario?",
      "comment_count": 5,
      "views": 0,
      "votes": 3
    },
    {
      "id": 270295,
      "title": "Optuna question",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 269868,
      "title": "Building a pipeline for Kaggle",
      "comment_count": 5,
      "views": 0,
      "votes": 10
    },
    {
      "id": 270309,
      "title": "Outlier Detection",
      "comment_count": 2,
      "views": 0,
      "votes": 2
    },
    {
      "id": 269873,
      "title": "How to handle large submission file?",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 269555,
      "title": "Are you looking for a team? - Megathread",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 269965,
      "title": "Numerical to categorical: a possible FE idea?",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 269787,
      "title": "Kfold or StratifiedKFold for this competetion?",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 269898,
      "title": "Does the data reflect real-world dataset?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 270587,
      "title": "Another brute-force competetion?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 270592,
      "title": "How to tune Lightgbm under 15 mins using Bayesian Optimization",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 270589,
      "title": "An exploration of TPS - Sep EDA using EDA Tools",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 270294,
      "title": "InvalidArgumentError issue with Deep Learning Model",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 269890,
      "title": "Exponential distributions with Negative values- Alternatives to Log transform",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 269657,
      "title": "Accuracy Score",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 269627,
      "title": "Features Distribution",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 270018,
      "title": "Keeping Basics in mind for Exploratory Data Analysis (EDA)",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 269880,
      "title": "ROC and AUC - What you need to understand.",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 269634,
      "title": "Kaggle Notebooks Help Needed",
      "comment_count": 10,
      "views": 0,
      "votes": 2
    },
    {
      "id": 270067,
      "title": "Should I merge train and test test for imputation?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 270283,
      "title": "EDA with PySpark",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 269872,
      "title": "XGBoost Error!",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 269625,
      "title": "Things to consider this time",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 269994,
      "title": "How to handle NA data?🙄",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 269879,
      "title": "Model overfitting ?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 269697,
      "title": "Looking for a team?",
      "comment_count": 1,
      "views": 0,
      "votes": 3
    },
    {
      "id": 270030,
      "title": "LOOKING FOR A TEAM!",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 269992,
      "title": "Random Sample Imputation",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 269739,
      "title": "Working with a subset of KFold Data?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 269934,
      "title": "Having trouble with missing values",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 269877,
      "title": "Running codes on kaggle or offline? - please help",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    }
  ],
  "errors": []
}