Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Mljar Supervised | 2,867 | 2 | 2 months ago | 84 | September 26, 2023 | 141 | mit | Python | ||
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation | ||||||||||
Interpretable_machine_learning_with_python | 629 | a year ago | 1 | Jupyter Notebook | ||||||
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security. | ||||||||||
Vip | 184 | 1 | 13 | 7 months ago | 10 | August 21, 2023 | 20 | R | ||
Variable Importance Plots (VIPs) | ||||||||||
Shapforxgboost | 78 | 10 months ago | 7 | May 29, 2023 | 5 | other | R | |||
SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R' | ||||||||||
Instacart Market Basket Analysis | 17 | 2 years ago | 2 | mit | Jupyter Notebook | |||||
The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling. | ||||||||||
Pyceterisparibus | 17 | 3 years ago | 5 | May 04, 2019 | 1 | apache-2.0 | Python | |||
Python library for Ceteris Paribus Plots (What-if plots) | ||||||||||
Treeplot | 6 | 1 | a year ago | 15 | August 01, 2022 | other | Python | |||
Plot tree based machine learning models | ||||||||||
Partialplot | 6 | 6 months ago | R | |||||||
Partial dependency plots in R for xgboost, lightGBM and ranger objects | ||||||||||
Tidycorels | 5 | 4 years ago | other | R | ||||||