catboost / tutorialsLinks
CatBoost tutorials repository
☆1,084Updated this week
Alternatives and similar repositories for tutorials
Users that are interested in tutorials are comparing it to the libraries listed below
Sorting:
- LAMA - automatic model creation framework☆924Updated 3 years ago
- python partial dependence plot toolbox☆861Updated last year
- uplift modeling in scikit-learn style in python☆789Updated 2 years ago
- Python implementations of the Boruta all-relevant feature selection method.☆1,600Updated last month
- Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms☆637Updated 2 years ago
- Python package for stacking (machine learning technique)☆702Updated last month
- A library of sklearn compatible categorical variable encoders☆2,472Updated last week
- Automated modeling and machine learning framework FEDOT☆701Updated this week
- Source code to reproduce experiments from the article Practitioner’s Guide to Statistical Tests☆210Updated 3 years ago
- Leave One Feature Out Importance☆855Updated 10 months ago
- Code to compute permutation and drop-column importances in Python scikit-learn models☆619Updated 8 months ago
- Feature engineering package with sklearn like functionality☆2,173Updated last month
- Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018☆1,475Updated 5 years ago
- Feature exploration for supervised learning☆761Updated 4 years ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,812Updated 3 weeks ago
- Feature selector is a tool for dimensionality reduction of machine learning datasets☆2,237Updated last year
- Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual expl…☆504Updated last month
- Hyper-parameter optimization for sklearn☆1,648Updated 8 months ago
- Fast and customizable framework for automatic ML model creation (AutoML)☆1,439Updated last week
- ☆296Updated 3 years ago
- Python implementation of the population stability index (PSI)☆143Updated 2 years ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,773Updated 7 months ago
- A set of useful tools for competitive data science.☆553Updated 3 years ago
- A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.☆583Updated last year
- ☆136Updated 7 years ago
- Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course☆660Updated 5 years ago
- Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upo…☆544Updated 10 months ago
- Automated feature engineering in Python with Featuretools☆520Updated 6 years ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆535Updated 8 months ago
- Predictive Power Score (PPS) in Python☆1,166Updated 2 months ago