{
  "total": 70,
  "topics": [
    {
      "id": 327376,
      "title": "New to Machine Learning or to Kaggle? Check this out.",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 327375,
      "title": "Looking for a Team Megathread",
      "comment_count": 6,
      "views": 0,
      "votes": 3
    },
    {
      "id": 330761,
      "title": "Imputation using Datawig",
      "comment_count": 4,
      "views": 0,
      "votes": 9
    },
    {
      "id": 330155,
      "title": "Model inspection with SHAP",
      "comment_count": 4,
      "views": 0,
      "votes": 8
    },
    {
      "id": 334331,
      "title": "#1 Solution - Denoising Autoencoder",
      "comment_count": 20,
      "views": 0,
      "votes": 76
    },
    {
      "id": 328358,
      "title": "MissForest and missingpy",
      "comment_count": 7,
      "views": 0,
      "votes": 27
    },
    {
      "id": 334497,
      "title": "4th place approach",
      "comment_count": 8,
      "views": 0,
      "votes": 18
    },
    {
      "id": 328568,
      "title": "Are you missing something? Imputation Techniques.",
      "comment_count": 26,
      "views": 0,
      "votes": 59
    },
    {
      "id": 334336,
      "title": "Congratulations!",
      "comment_count": 9,
      "views": 0,
      "votes": 14
    },
    {
      "id": 330874,
      "title": "Helpful Resources for all Kaggle Competitions",
      "comment_count": 3,
      "views": 0,
      "votes": 11
    },
    {
      "id": 334319,
      "title": "#2 Solution",
      "comment_count": 10,
      "views": 0,
      "votes": 21
    },
    {
      "id": 334343,
      "title": "17th place solution",
      "comment_count": 3,
      "views": 0,
      "votes": 9
    },
    {
      "id": 334415,
      "title": "[TPS-JUN22] Winning solutions tricks and methods",
      "comment_count": 3,
      "views": 0,
      "votes": 12
    },
    {
      "id": 334358,
      "title": "#16 Deep Magic",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 334567,
      "title": "#8 solution | Neural Net like MLM",
      "comment_count": 2,
      "views": 0,
      "votes": 7
    },
    {
      "id": 334356,
      "title": "Are we not having a TPS for July?",
      "comment_count": 8,
      "views": 0,
      "votes": 8
    },
    {
      "id": 333761,
      "title": "Are we approaching this the wrong way?",
      "comment_count": 4,
      "views": 0,
      "votes": 16
    },
    {
      "id": 333500,
      "title": "Creating the submission dataframe",
      "comment_count": 6,
      "views": 0,
      "votes": 6
    },
    {
      "id": 332985,
      "title": "Process of figuring out that only Mean everywhere except F4",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 333322,
      "title": "Exclusive_Techniques_Deal_with_Miss_Data!",
      "comment_count": 6,
      "views": 0,
      "votes": 10
    },
    {
      "id": 332482,
      "title": "🤔Imputing Process Takes Forever ",
      "comment_count": 7,
      "views": 0,
      "votes": 6
    },
    {
      "id": 330421,
      "title": "Columns in group F_2_",
      "comment_count": 8,
      "views": 0,
      "votes": 9
    },
    {
      "id": 333183,
      "title": "Best score stuck at 0.835",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 333314,
      "title": "What are your moves for the last 5 days?",
      "comment_count": 1,
      "views": 0,
      "votes": 1
    },
    {
      "id": 331815,
      "title": "How randomly are the missing values distributed?",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 331908,
      "title": "Auto EDA to catch missing data !!!!",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 329000,
      "title": "Are features from F_1 and F_3 independent?",
      "comment_count": 6,
      "views": 0,
      "votes": 11
    },
    {
      "id": 329604,
      "title": "Are Null values imputed intentionally!!",
      "comment_count": 3,
      "views": 0,
      "votes": 6
    },
    {
      "id": 331331,
      "title": "Abhishek Thakur' Tutorial on Handling Missing Values",
      "comment_count": 4,
      "views": 0,
      "votes": 13
    },
    {
      "id": 328676,
      "title": "Journal Papers, Kernels, Blogs | BEST Resources to Learn and Explore in TPS Jun 2022",
      "comment_count": 7,
      "views": 0,
      "votes": 17
    },
    {
      "id": 331227,
      "title": "What do we know so far? - Insights from top discussion topics",
      "comment_count": 2,
      "views": 0,
      "votes": 16
    },
    {
      "id": 328369,
      "title": "Solution Approach - Regression Models",
      "comment_count": 11,
      "views": 0,
      "votes": 28
    },
    {
      "id": 331750,
      "title": "Is there any solution that will be easy for deploying",
      "comment_count": 1,
      "views": 0,
      "votes": 4
    },
    {
      "id": 332303,
      "title": "Pandas read_csv not reading all rows?",
      "comment_count": 1,
      "views": 0,
      "votes": null
    },
    {
      "id": 330003,
      "title": "A monthly prize to recognize notebooks that use Google's ML ecosystem",
      "comment_count": 2,
      "views": 0,
      "votes": 9
    },
    {
      "id": 330218,
      "title": "I found Fast KNN imputer",
      "comment_count": 2,
      "views": 0,
      "votes": 11
    },
    {
      "id": 328366,
      "title": "Worried about missing values in the dataset? Check this compilation.",
      "comment_count": 8,
      "views": 0,
      "votes": 23
    },
    {
      "id": 330727,
      "title": "How to impute when there are two or more missing values in one record?",
      "comment_count": 0,
      "views": 0,
      "votes": 9
    },
    {
      "id": 330054,
      "title": "Competition Stuck...at 0.83564",
      "comment_count": 18,
      "views": 0,
      "votes": 13
    },
    {
      "id": 328348,
      "title": "Beginner friendly resources for missing values - Tutorials",
      "comment_count": 7,
      "views": 0,
      "votes": 16
    },
    {
      "id": 330877,
      "title": "Order of missing values in the submission file",
      "comment_count": 2,
      "views": 0,
      "votes": 3
    },
    {
      "id": 330148,
      "title": "Too slow - How to accelerate imputation?",
      "comment_count": 3,
      "views": 0,
      "votes": 5
    },
    {
      "id": 330627,
      "title": "F2 features: Search for meaning",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    },
    {
      "id": 330382,
      "title": "Feature Engineering Based on Missing Values",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 330695,
      "title": "Shapley Interaction Index",
      "comment_count": 0,
      "views": 0,
      "votes": 1
    },
    {
      "id": 329723,
      "title": "What are the differences between these approaches?",
      "comment_count": 1,
      "views": 0,
      "votes": 6
    },
    {
      "id": 329575,
      "title": "Missing Values Imputation with Auto Encoder",
      "comment_count": 4,
      "views": 0,
      "votes": 7
    },
    {
      "id": 329567,
      "title": "Using the dataset for educational purposes in Medium articles",
      "comment_count": 2,
      "views": 0,
      "votes": 6
    },
    {
      "id": 329603,
      "title": "Overfitting when using LightGBM for regression",
      "comment_count": 0,
      "views": 0,
      "votes": 11
    },
    {
      "id": 328349,
      "title": "Kaggle Competition",
      "comment_count": 2,
      "views": 0,
      "votes": 5
    },
    {
      "id": 329525,
      "title": "Good article about Multiple Imputation",
      "comment_count": 0,
      "views": 0,
      "votes": 8
    },
    {
      "id": 329050,
      "title": "Creating a Validation set",
      "comment_count": 3,
      "views": 0,
      "votes": 8
    },
    {
      "id": 328386,
      "title": "Interesting plot!",
      "comment_count": 8,
      "views": 0,
      "votes": 14
    },
    {
      "id": 328783,
      "title": "Congrats to SRK on becoming a new 4x Kaggle  Grandmaster.",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 328647,
      "title": "A recent benchmarking study of imputation techniques",
      "comment_count": 9,
      "views": 0,
      "votes": 13
    },
    {
      "id": 329285,
      "title": "Iterative and KNN imputers running forever",
      "comment_count": 4,
      "views": 0,
      "votes": 2
    },
    {
      "id": 328420,
      "title": "Significant Differences Between Continuous and Discrete Variables",
      "comment_count": 3,
      "views": 0,
      "votes": 13
    },
    {
      "id": 328588,
      "title": "Baseline Iterative Imputer Code",
      "comment_count": 3,
      "views": 0,
      "votes": 7
    },
    {
      "id": 328842,
      "title": "KNN Imputation",
      "comment_count": 11,
      "views": 0,
      "votes": 5
    },
    {
      "id": 328370,
      "title": "Kaggle Team, Is this a time series data?",
      "comment_count": 2,
      "views": 0,
      "votes": 13
    },
    {
      "id": 328339,
      "title": "Rob Mulla's notebook on \"Handling with missing data\"",
      "comment_count": 8,
      "views": 0,
      "votes": 14
    },
    {
      "id": 329113,
      "title": "The Dangers of Imputing Values using KNN",
      "comment_count": 0,
      "views": 0,
      "votes": 6
    },
    {
      "id": 329153,
      "title": "What do scores greater than 1 mean?",
      "comment_count": 5,
      "views": 0,
      "votes": 2
    },
    {
      "id": 328401,
      "title": "Acing TPS-Jun'22: Useful Research papers for missing value predictions",
      "comment_count": 2,
      "views": 0,
      "votes": 15
    },
    {
      "id": 328834,
      "title": "Do they mean something?",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 328352,
      "title": "Data Imputation technique",
      "comment_count": 0,
      "views": 0,
      "votes": 10
    },
    {
      "id": 328437,
      "title": "Improving Score by increasing n_estimators",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 328494,
      "title": "CatBoost and Increasing the n_estimators gives great Results!!",
      "comment_count": 0,
      "views": 0,
      "votes": 4
    },
    {
      "id": 328391,
      "title": "📌 10xFaster Automated Submission Function 🦾👑",
      "comment_count": 0,
      "views": 0,
      "votes": 5
    },
    {
      "id": 328383,
      "title": "Chinese Kaggler Looking for a Team Megathread!! 中国小伙伴寻找队友",
      "comment_count": 0,
      "views": 0,
      "votes": 3
    }
  ],
  "errors": []
}