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5 search results found
Mljar Supervised
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2,867
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Interpretable_machine_learning_with_python
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629
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
Vip
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184
Variable Importance Plots (VIPs)
Shapforxgboost
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78
SHAP (SHapley Additive exPlnation) visualization for 'XGBoost' in 'R'
Instacart Market Basket Analysis
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17
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
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17
Python library for Ceteris Paribus Plots (What-if plots)
Treeplot
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6
Plot tree based machine learning models
Partialplot
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6
Partial dependency plots in R for xgboost, lightGBM and ranger objects
Tidycorels
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5
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