NhanPhamThanh-IT/Feature-Engineering-Technique

📊 A practical toolkit for feature engineering and selection in Python. Explore EDA, handle missing data and outliers, scale/encode/transform features, discretize, and select via filter, wrapper, embedded, shuffling, and hybrid methods. Comes with datasets, clean notebooks, reusable utils, and clear visuals for fast, reproducible ML. Workflows.

语言：Jupyter Notebook · GitHub 星标：17 · Fork：0

话题：artificial-intelligence · data-analysis · data-engineering · data-science · data-visualization · datascience · datasets · documentation

在 GitHub 上查看原仓库