Projects in Awesome Lists tagged with missing-value-handling

A curated list of projects in awesome lists tagged with missing-value-handling .

- Recently synced
- Stars

https://github.com/awslabs/datawig

Imputation of missing values in tables.

imputation missing-value-handling

Last synced: 06 Apr 2025

https://github.com/rahulvictor12/german-bank-loan-defaulter-prediction

A machine learning project to predict loan defaults in a German bank's customer base. Using the German Credit Risk dataset, it explores key factors contributing to defaults and trains models like Random Forest, GBM, and XGBoost. Includes EDA, data processing, hyperparameter tuning, and model evaluation.

accuracy ada-boost-classifier bagging categorical-encoding data-processing exploratory-data-analysis f1-score gbm gridsearchcv hyperparameter-tuning machine-learning missing-value-handling modelevaluation precision random-forest randomsearch-cv recall xgboost

Last synced: 25 Feb 2025

https://github.com/sajjad425/missingvalue

This repository provides a guide on handling missing values in Python, covering identification methods, imputation techniques (mean, median, mode, fill, interpolation), advanced methods (KNN, multiple imputation), and best practices. It includes practical examples for both numerical and categorical data.

data data-analysis-python data-science missing-value-handling missing-value-imputation

Last synced: 04 Apr 2025

https://github.com/mehnaz2004/data-cleaning-casestudy

This repository demonstrates data cleaning with a layoffs dataset. It covers handling missing values, detecting outliers, and encoding categorical data, using visualizations like boxplots and distplots to enhance data quality. Check out the code to see these techniques in action.

categorical-data-encoding data-cleaning data-integrity data-visualization missing-value-handling outlier-detection-and-removal pandas seaborn sklearn