{
  "total": 123,
  "topics": [
    {
      "id": 516204,
      "title": "This Competition has an Official Discord Channel",
      "comment_count": 4,
      "views": 0,
      "votes": 16
    },
    {
      "id": 516502,
      "title": "The AutoML Grand Prix for July",
      "comment_count": 13,
      "views": 0,
      "votes": 15
    },
    {
      "id": 512201,
      "title": "This competition is eligible for the AutoML Grand Prix!",
      "comment_count": 1,
      "views": 0,
      "votes": 15
    },
    {
      "id": 487171,
      "title": "Get started here!",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 523698,
      "title": "4th place solution: Competing Without Compute",
      "comment_count": 16,
      "views": 0,
      "votes": 20
    },
    {
      "id": 518573,
      "title": "[AutoML Grand Prix July 10th Place] Team Tilii",
      "comment_count": 19,
      "views": 0,
      "votes": 20
    },
    {
      "id": 521728,
      "title": "[0.89041] on GBT+XGB+LGBM | Start here",
      "comment_count": 8,
      "views": 0,
      "votes": 11
    },
    {
      "id": 523489,
      "title": "2nd Place Solution (One model is all you need) - Team Ujjwal Pandey",
      "comment_count": 15,
      "views": 0,
      "votes": 45
    },
    {
      "id": 523404,
      "title": "Winning approach- Team Cross Sellers",
      "comment_count": 97,
      "views": 0,
      "votes": 132
    },
    {
      "id": 523484,
      "title": "6th place solution",
      "comment_count": 12,
      "views": 0,
      "votes": 24
    },
    {
      "id": 523486,
      "title": "8th Place Solution",
      "comment_count": 11,
      "views": 0,
      "votes": 13
    },
    {
      "id": 523661,
      "title": "#3 solution | Many individual models and many ensembles",
      "comment_count": 11,
      "views": 0,
      "votes": 30
    },
    {
      "id": 523384,
      "title": "Is this the best curated playground episode of the year?",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 523405,
      "title": "Quick reflection - a tale of diminishing returns [#3 place]",
      "comment_count": 7,
      "views": 0,
      "votes": 22
    },
    {
      "id": 523403,
      "title": "#9 Solution | 24 Models + Hill Climbing",
      "comment_count": 12,
      "views": 0,
      "votes": 17
    },
    {
      "id": 523410,
      "title": "Is this the most ideal leaderboard in the playground series?",
      "comment_count": 2,
      "views": 0,
      "votes": 25
    },
    {
      "id": 523357,
      "title": "Olympics. AutoML Grand Prix in 6 hours. Bring DreamTeam Nvidia. Prompt:On your marks!",
      "comment_count": 3,
      "views": 0,
      "votes": 15
    },
    {
      "id": 521774,
      "title": "[Learn from the Grandmasters] Target Encoding",
      "comment_count": 18,
      "views": 0,
      "votes": 35
    },
    {
      "id": 523453,
      "title": "Recommend me Some ML Courses",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 523449,
      "title": "12th place Solution",
      "comment_count": 1,
      "views": 0,
      "votes": 5
    },
    {
      "id": 523603,
      "title": "highest probability for positive response ?",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 522410,
      "title": "Using LGB Model for Prediction",
      "comment_count": 43,
      "views": 0,
      "votes": 4
    },
    {
      "id": 523053,
      "title": "Problem - CPU SHUTS DOWN - LGBM",
      "comment_count": 7,
      "views": 0,
      "votes": 3
    },
    {
      "id": 523326,
      "title": "Latest version of notebook not saving",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 520253,
      "title": "A glitch in the insurance matrix.",
      "comment_count": 8,
      "views": 0,
      "votes": 31
    },
    {
      "id": 522211,
      "title": "thank you very much for this playground",
      "comment_count": 6,
      "views": 0,
      "votes": 7
    },
    {
      "id": 523118,
      "title": "From 0.81 to 0.89",
      "comment_count": 6,
      "views": 0,
      "votes": 1
    },
    {
      "id": 522604,
      "title": "EDA  VS Model",
      "comment_count": 8,
      "views": 0,
      "votes": 1
    },
    {
      "id": 522865,
      "title": "Submit Prediction Probablities not Binary predictions.",
      "comment_count": 4,
      "views": 0,
      "votes": 1
    },
    {
      "id": 523258,
      "title": "How to submit.",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 522664,
      "title": "AUC for highly imbalanced data",
      "comment_count": 13,
      "views": 0,
      "votes": 1
    },
    {
      "id": 521722,
      "title": "Taking a long time for training model",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 522958,
      "title": "What Feature Engineering to do ?   ",
      "comment_count": 4,
      "views": 0,
      "votes": -3
    },
    {
      "id": 522874,
      "title": "Kaggle Notebook keeps crashing ",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 521278,
      "title": "Do Catboost and LGBM use  best_iteration automatically for prediction?",
      "comment_count": 9,
      "views": 0,
      "votes": 12
    },
    {
      "id": 516475,
      "title": "[AutoML Grand Prix] 1st Place Solution (One CatBoost Is All You Need)",
      "comment_count": 33,
      "views": 0,
      "votes": 54
    },
    {
      "id": 522560,
      "title": "Question about Catboost feature type",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 522558,
      "title": "Help for ML newbie",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 519562,
      "title": "See what it takes to get the neural networks to work",
      "comment_count": 3,
      "views": 0,
      "votes": 32
    },
    {
      "id": 522454,
      "title": "Is CatBoost Accuracy increased further ",
      "comment_count": 4,
      "views": 0,
      "votes": null
    },
    {
      "id": 521160,
      "title": "catboost not working",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 522263,
      "title": "SKLearn Pipeline questions",
      "comment_count": 5,
      "views": 0,
      "votes": null
    },
    {
      "id": 521086,
      "title": "Cannot train LightGBM on GPU",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 515996,
      "title": "Feature Selection for Cross Selling: SFS, Hashing. Vintage Customer. ML Lifecycle.",
      "comment_count": 3,
      "views": 0,
      "votes": 32
    },
    {
      "id": 522603,
      "title": "should i run all code on kaglle notebook for submission?",
      "comment_count": 3,
      "views": 0,
      "votes": 1
    },
    {
      "id": 521480,
      "title": "Submission error",
      "comment_count": 5,
      "views": 0,
      "votes": 0
    },
    {
      "id": 521901,
      "title": "Unexpected Error",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 521570,
      "title": "Having trouble with submission",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 521537,
      "title": "TabNET not working?",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 520529,
      "title": "Random Forest",
      "comment_count": 6,
      "views": 0,
      "votes": null
    },
    {
      "id": 521839,
      "title": "How to optimize the training data size",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 516265,
      "title": "[4th Place Solution AutoML Grand Prix] AutoML Grandmasters",
      "comment_count": 31,
      "views": 0,
      "votes": 48
    },
    {
      "id": 519368,
      "title": "Simple approach using k-means + k-NN",
      "comment_count": 4,
      "views": 0,
      "votes": 28
    },
    {
      "id": 520591,
      "title": "Why Decision tree base algorithms are so much used in this competition ?",
      "comment_count": 9,
      "views": 0,
      "votes": 3
    },
    {
      "id": 516929,
      "title": "how to submit my predictions for this competition",
      "comment_count": 7,
      "views": 0,
      "votes": 4
    },
    {
      "id": 521248,
      "title": "Rows Error",
      "comment_count": 3,
      "views": 0,
      "votes": 2
    },
    {
      "id": 520987,
      "title": "Results as far.",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 520157,
      "title": "Reproducibility Issues with Keras: Seeking Solutions",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 520777,
      "title": "Submission file error",
      "comment_count": 7,
      "views": 0,
      "votes": 2
    },
    {
      "id": 520403,
      "title": "HyperParameter Tuning.",
      "comment_count": 11,
      "views": 0,
      "votes": 3
    },
    {
      "id": 517305,
      "title": "Run your code 4x faster with GPU",
      "comment_count": 43,
      "views": 0,
      "votes": 53
    },
    {
      "id": 520012,
      "title": "pyspark  reading the dataset hsd as mind of it's own :-) ",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 516109,
      "title": "Uncertainty about meaning of columns",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 518760,
      "title": "This month you'll need a neural network to win the competition",
      "comment_count": 30,
      "views": 0,
      "votes": 42
    },
    {
      "id": 517112,
      "title": "[AutoML July 2nd Place] Team Oxygen ",
      "comment_count": 10,
      "views": 0,
      "votes": 32
    },
    {
      "id": 516462,
      "title": "Logistic Regression as Baseline",
      "comment_count": 21,
      "views": 0,
      "votes": 32
    },
    {
      "id": 516674,
      "title": "Do not ignore CPU based kernels in this assignment",
      "comment_count": 4,
      "views": 0,
      "votes": 41
    },
    {
      "id": 517167,
      "title": "You don't need all the samples!",
      "comment_count": 10,
      "views": 0,
      "votes": 38
    },
    {
      "id": 520283,
      "title": "still not solved..!",
      "comment_count": 3,
      "views": 0,
      "votes": -2
    },
    {
      "id": 516808,
      "title": "Don't forget about overfitting!",
      "comment_count": 11,
      "views": 0,
      "votes": 5
    },
    {
      "id": 520098,
      "title": "Getting error",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 520319,
      "title": "Error while submitting",
      "comment_count": 2,
      "views": 0,
      "votes": 1
    },
    {
      "id": 519057,
      "title": "description of the data ",
      "comment_count": 2,
      "views": 0,
      "votes": null
    },
    {
      "id": 519230,
      "title": "LGBM error with GPU",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 516645,
      "title": "Why People Share submission notebook?",
      "comment_count": 7,
      "views": 0,
      "votes": -1
    },
    {
      "id": 519197,
      "title": "How to make sense of this dataset ? Will even decision tree work properly ?",
      "comment_count": 16,
      "views": 0,
      "votes": 2
    },
    {
      "id": 519292,
      "title": "How would feature engineering be done correctly?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 518782,
      "title": "Which one to use? Kaggle Notebook/Google Collab/VS code with Github Copilot",
      "comment_count": 9,
      "views": 0,
      "votes": 6
    },
    {
      "id": 518705,
      "title": "Don't worry too much about ensembling",
      "comment_count": 4,
      "views": 0,
      "votes": 20
    },
    {
      "id": 518567,
      "title": "[AutoML Grand Prix] 6th Place Solution. 0.88729",
      "comment_count": 6,
      "views": 0,
      "votes": 13
    },
    {
      "id": 518456,
      "title": "pos_bagging_fraction in LBGM: An imbalanced data sampling technique that works",
      "comment_count": 4,
      "views": 0,
      "votes": 12
    },
    {
      "id": 518926,
      "title": "Cannot improve on these lgbm parameters ",
      "comment_count": 3,
      "views": 0,
      "votes": 4
    },
    {
      "id": 519267,
      "title": "catboot hyperparameters",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 519216,
      "title": "newbies for playground series",
      "comment_count": 0,
      "views": 0,
      "votes": 2
    },
    {
      "id": 516860,
      "title": "[LB 0.89375] 3rd place solution - \"LightAutoML testers\" team",
      "comment_count": 16,
      "views": 0,
      "votes": 43
    },
    {
      "id": 517079,
      "title": "[AutoML GrandPrix ] 7th Place Solution Write-Up",
      "comment_count": 8,
      "views": 0,
      "votes": 16
    },
    {
      "id": 519178,
      "title": "Any solution to this message rate limit getting exceeded?",
      "comment_count": 5,
      "views": 0,
      "votes": 1
    },
    {
      "id": 518398,
      "title": "Tip for Reading Large Datasets.",
      "comment_count": 5,
      "views": 0,
      "votes": 6
    },
    {
      "id": 516963,
      "title": "[AutoML Grand Prix] 9th Place Solution  - \"Ensemble of AutoMLs\"",
      "comment_count": 4,
      "views": 0,
      "votes": 12
    },
    {
      "id": 518542,
      "title": "[AutoML Grand Prix] 8th place solution",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 516855,
      "title": "[AutoML Grand Prix] 5th Place Solution (Lama Takes it All)",
      "comment_count": 7,
      "views": 0,
      "votes": 19
    },
    {
      "id": 516577,
      "title": "What will be your strategy for the remaining of the competition?",
      "comment_count": 7,
      "views": 0,
      "votes": 15
    },
    {
      "id": 518699,
      "title": "About the Dataset and Some Ideas",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 516729,
      "title": "SMOTE for imbalanced data",
      "comment_count": 21,
      "views": 0,
      "votes": 7
    },
    {
      "id": 518766,
      "title": "Need suggestion for managing the memory and models",
      "comment_count": 3,
      "views": 0,
      "votes": null
    },
    {
      "id": 518457,
      "title": "My model is not learning its almost stuck in this accuracy score",
      "comment_count": 6,
      "views": 0,
      "votes": 2
    },
    {
      "id": 517209,
      "title": "Optimizing CatBoost for Binary Classification of Insurance Cross Selling",
      "comment_count": 3,
      "views": 0,
      "votes": 3
    },
    {
      "id": 516413,
      "title": "[AutoML Grand Prix 23rd place solution] Learnt the art of effective resource and time management",
      "comment_count": 7,
      "views": 0,
      "votes": 35
    },
    {
      "id": 518394,
      "title": "Reducing Memory Usage",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 516672,
      "title": "A much-needed switch up from previous playground competitions",
      "comment_count": 1,
      "views": 0,
      "votes": 13
    },
    {
      "id": 516840,
      "title": "SMOTE or not SMOTE?",
      "comment_count": 6,
      "views": 0,
      "votes": 4
    },
    {
      "id": 518367,
      "title": "Code efficient way to downcast numerical types and save memory",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 516286,
      "title": "[AutoML Grand Prix 26th place solution] - Making unusual decisions in the middle of a desaster",
      "comment_count": 10,
      "views": 0,
      "votes": 19
    },
    {
      "id": 516103,
      "title": "Finding the Right Balance: Training Data Size",
      "comment_count": 10,
      "views": 0,
      "votes": 16
    },
    {
      "id": 516274,
      "title": "22nd place: An AutoML newbie having fun (and running out of time)",
      "comment_count": 7,
      "views": 0,
      "votes": 10
    },
    {
      "id": 516269,
      "title": "two lines of code to make life easier during sub",
      "comment_count": 2,
      "views": 0,
      "votes": 21
    },
    {
      "id": 516132,
      "title": "How to Handle Such a Huge Tabular Dataset ",
      "comment_count": 7,
      "views": 0,
      "votes": 9
    },
    {
      "id": 515970,
      "title": "Binary classifier- onboarding materials ",
      "comment_count": 8,
      "views": 0,
      "votes": 17
    },
    {
      "id": 516283,
      "title": "What strategies or tools have you found effective for reducing training time?",
      "comment_count": 16,
      "views": 0,
      "votes": 7
    },
    {
      "id": 516739,
      "title": "Use 7z compression format for file submission.",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 516988,
      "title": "If someone facing the following two problems, what's the solution for those?",
      "comment_count": 2,
      "views": 0,
      "votes": 4
    },
    {
      "id": 516821,
      "title": "Stratified train test split",
      "comment_count": 4,
      "views": 0,
      "votes": 3
    },
    {
      "id": 516044,
      "title": "You heard it here first",
      "comment_count": 11,
      "views": 0,
      "votes": 12
    },
    {
      "id": 516447,
      "title": "Tips for newbies in AutoML and in handling such large datasets",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 516136,
      "title": " Optimizing the dataset with Pandas Datatypes",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 516349,
      "title": "Confused About Submission Accuracy",
      "comment_count": 5,
      "views": 0,
      "votes": 4
    },
    {
      "id": 516495,
      "title": "316 | 56 Additional Features Add-ons",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 516091,
      "title": "Scoring time for submissions?",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 515981,
      "title": "Is this a health insurance/ motor insurance problem?",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 515968,
      "title": "AutoML episode 3 references",
      "comment_count": 2,
      "views": 0,
      "votes": 8
    },
    {
      "id": 516534,
      "title": "Baseline Logistic Regression Model & EDA",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 516532,
      "title": "Evaluation",
      "comment_count": 1,
      "views": 0,
      "votes": 2
    },
    {
      "id": 516141,
      "title": "What to Do of the Non-Drivers that have a Postive Response",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    }
  ],
  "errors": []
}