Skip to content
Closed
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -200,6 +200,7 @@ _Libraries for Machine Learning. Also see [awesome-machine-learning](https://git
- [scikit-learn](https://github.com/scikit-learn/scikit-learn) - The most popular Python library for Machine Learning with extensive documentation and community support.
- [pgmpy](https://github.com/pgmpy/pgmpy) - A Python library for probabilistic graphical models and Bayesian networks.
- [feature-engine](https://github.com/feature-engine/feature_engine) - sklearn compatible API with the widest toolset for feature engineering and selection.
- [pysad](https://github.com/selimfirat/pysad) - A library for anomaly detection on streaming data with online detectors, evaluators, and calibrators.
- Gradient Boosting
- [xgboost](https://github.com/dmlc/xgboost) - A scalable, portable, and distributed gradient boosting library.
- [lightgbm](https://github.com/lightgbm-org/LightGBM) - A fast, distributed, high performance gradient boosting framework.
Expand Down
Loading