rasgointelligence/feature-engineering-tutorials
Data Science Feature Engineering and Selection Tutorials
These tutorials provide practical recipes and code to help data scientists prepare their raw data for machine learning models. You'll learn how to clean up messy datasets and create new, insightful features from your existing information. The result is better-prepared data that leads to more accurate and explainable machine learning predictions.
290 stars.
Use this if you are a data scientist looking for concrete examples and code to improve your data cleaning and feature engineering workflows for supervised machine learning.
Not ideal if you are looking for a fully automated, no-code solution for data preparation or if your primary focus is unsupervised learning.
Stars
290
Forks
101
Language
Jupyter Notebook
License
AGPL-3.0
Category
Last pushed
Jan 12, 2026
Commits (30d)
0
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