abhayspawar/featexp
Feature exploration for supervised learning
This tool helps data scientists and machine learning engineers understand how individual features in a dataset relate to the target variable, which is crucial for building accurate predictive models. You input your training and optional test datasets along with your target variable, and it outputs plots and statistics that visualize feature trends, identify noisy features, and detect data leakage. It's designed for anyone preparing data for supervised machine learning.
760 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to quickly visualize and analyze the relationship between individual features and your target variable to improve your machine learning model's performance and robustness.
Not ideal if you need to understand complex interactions between multiple features or require advanced model-based interpretability techniques.
Stars
760
Forks
160
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 04, 2021
Commits (30d)
0
Dependencies
3
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