catboost / tutorials
CatBoost tutorials repository
☆1,068Updated last month
Alternatives and similar repositories for tutorials
Users that are interested in tutorials are comparing it to the libraries listed below
Sorting:
- uplift modeling in scikit-learn style in python☆765Updated last year
- Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests☆204Updated 2 years ago
- LAMA - automatic model creation framework☆926Updated 3 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,705Updated last week
- Automated modeling and machine learning framework FEDOT☆668Updated this week
- State-of-the art Automated Machine Learning python library for Tabular Data☆233Updated last year
- ☆382Updated 8 years ago
- Python implementation of the population stability index (PSI)☆139Updated last year
- ☆289Updated 3 years ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,569Updated 9 months ago
- Benchmarking different approaches for categorical encoding for tabular data☆172Updated 2 years ago
- StackNet is a computational, scalable and analytical Meta modelling framework☆1,318Updated 6 years ago
- Python package for stacking (machine learning technique)☆692Updated 9 months ago
- A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other ma…☆8,394Updated this week
- Uplift modeling package.☆373Updated 2 years ago
- python partial dependence plot toolbox☆853Updated 8 months ago
- Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms☆632Updated 2 years ago
- A library of sklearn compatible categorical variable encoders☆2,444Updated last month
- Hyper-parameter optimization for sklearn☆1,623Updated last month
- A set of useful tools for competitive data science.☆550Updated 2 years ago
- Fast and customizable framework for automatic ML model creation (AutoML)☆1,357Updated 2 weeks ago
- Comparison tools☆171Updated last month
- Personal data science and machine learning toolbox☆365Updated 5 years ago
- Feature engineering package with sklearn like functionality☆2,051Updated 2 weeks ago
- Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.☆636Updated 4 months ago
- Leave One Feature Out Importance☆835Updated 3 months ago
- Feature exploration for supervised learning☆763Updated 4 years ago
- An implementation of the focal loss to be used with LightGBM for binary and multi-class classification problems☆253Updated 5 years ago
- XGBoost Feature Interactions Reshaped☆429Updated 7 years ago
- Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).☆805Updated 5 years ago