Best Python Libraries For: Machine Learning

Best Python Libraries For: Machine Learning

 

6. Scikit-Learn
 
Stars: 42500, Commits: 26162, Contributors: 1881

 

Scikit-learn is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

 

7. XGBoost
 

Stars: 19900, Commits: 5015, Contributors: 461

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow

 

8. LightGBM
 

Stars: 11600, Commits: 2066, Contributors: 172

 

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

 

9. Catboost
 

Stars: 5400, Commits: 12936, Contributors: 188

 

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

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Top 38 Python Libraries for Data Science, Data Visualization & Machine Learning - KDnuggets