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Discover 14 open source projects
Showing 1-14 of 14 projects
microsoft/LightGBM
A high-performance gradient boosting framework for machine learning tasks like ranking, classification, and more.
Jack-Cherish/Machine-Learning
Open-source machine learning library in Python with implementations of popular algorithms like kNN, decision trees, and SVM.
catboost/catboost
A high-performance gradient boosting library for machine learning tasks on CPUs and GPUs.
greyhatguy007/Machine-Learning-Specialization-Coursera
Solutions and notes for the Machine Learning Specialization by Andrew NG on Coursera.
biolab/orange3
Interactive data analysis tool with machine learning, visualization, and decision tree capabilities
mljar/mljar-supervised
An AutoML Python package for tabular data with feature engineering, hyperparameter tuning, and automatic documentation.
parrt/dtreeviz
A Python library for visualizing and interpreting decision tree models.
benedekrozemberczki/awesome-decision-tree-papers
A curated collection of research papers on decision, classification and regression trees with implementations.
kk7nc/Text_Classification
A comprehensive survey of text classification algorithms and techniques in Python.
edyoda/data-science-complete-tutorial
This repository provides comprehensive tutorials and resources for learning data science and machine learning using Python.
justmarkham/DAT8
General Assembly's 2015 Data Science course covering topics like machine learning, data analysis, and data visualization.
igrigorik/decisiontree
An ID3-based implementation of the ML Decision Tree algorithm in Ruby for use in machine learning projects.
nivu/ai_all_resources
A curated list of best AI resources for developers, including tutorials, libraries, and tools.
benedekrozemberczki/awesome-gradient-boosting-papers
A curated list of gradient boosting research papers with implementations in Python.
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