6532 Open source projects that are alternatives of or similar to Machine_learning

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Plain python implementations of basic machine learning algorithms

General Assembly's 2015 Data Science course in Washington, DC

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I will update this repository to learn Machine learning with python with statistics content and materials

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Python code for common Machine Learning Algorithms

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Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

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Implementations of machine learning algorithm by Python 3

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My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

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Machine Learning Lectures at the European Space Agency (ESA) in 2018

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A New, Interactive Approach to Learning Python

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Make a pull request. Let's hack the ocktober in an innovative way.

A Julia machine learning framework

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Learn advanced data science on real-life, curated problems

Sentiment analysis on Amazon Review Dataset available at http://snap.stanford.edu/data/web-Amazon.html

Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。

A set of machine learning experiments in Clojure

PHP-ML - Machine Learning library for PHP

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

Text Classification Algorithms: A Survey

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

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Information about my experiences on ethical hacking 💀

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Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.