catboost / tutorials
CatBoost tutorials repository
☆1,033Updated this week
Related projects ⓘ
Alternatives and complementary repositories for tutorials
- Python package for stacking (machine learning technique)☆686Updated 3 months ago
- LAMA - automatic model creation framework☆903Updated 2 years ago
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆8,092Updated this week
- uplift modeling in scikit-learn style in python☆733Updated last year
- A library of sklearn compatible categorical variable encoders☆2,410Updated last month
- python partial dependence plot toolbox☆845Updated 2 months ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,512Updated 3 months ago
- A set of useful tools for competitive data science.☆552Updated last year
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,758Updated 2 years ago
- Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests☆200Updated 2 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,655Updated 3 weeks ago
- Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018☆1,437Updated 4 years ago
- Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms☆623Updated last year
- Feature selector is a tool for dimensionality reduction of machine learning datasets☆2,229Updated 5 months ago
- Feature exploration for supervised learning☆763Updated 3 years ago
- ☆286Updated 2 years ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆567Updated 5 months ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆601Updated last month
- MLBox is a powerful Automated Machine Learning python library.☆1,500Updated last year
- Automated modeling and machine learning framework FEDOT☆647Updated this week
- Hyper-parameter optimization for sklearn☆1,588Updated 5 months ago
- Fast and customizable framework for automatic ML model creation (AutoML)☆1,213Updated 2 weeks ago
- ML-Ensemble – high performance ensemble learning☆848Updated last year
- Automated feature engineering in Python with Featuretools☆520Updated 5 years ago
- A Python library for dynamic classifier and ensemble selection☆481Updated 7 months ago
- Leave One Feature Out Importance☆818Updated 10 months ago
- XGBoost Feature Interactions Reshaped☆426Updated 7 years ago
- A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.☆589Updated 9 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆501Updated last month
- StackNet is a computational, scalable and analytical Meta modelling framework☆1,322Updated 6 years ago