Decision-trees Libraries

5 Components & Libraries

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Decision-trees Libraries

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.

Install CatBoost by following the guide for the Next you may want to investigate: If you cannot open documentation in your browser try adding yastatic.net and yastat.net to the list of allowed domain…

Python code for common Machine Learning Algorithms

Python codes for common Machine Learning Algorithms

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

You can start with this article that I wrote in Heartbeat magazine (on Medium platform): Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, …

A curated list of Best Artificial Intelligence Resources

Machine_Learning_Algorithms_from_Scratch

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

This repository explores the variety of techniques anf alorithm commonly used in machine learning and the implementation in MATLAB and PYTHON. Alogrithm used are : Extract the ZIP and open it. Unfort…