6899 Open source projects that are alternatives of or similar to Machinelearning

A day to day plan for this challenge. Covers both theoritical and practical aspects

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

The "Python Machine Learning (1st edition)" book code repository and info resource

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

Lending Club Loan data analysis

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.

R package to interface with OpenML

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

Learn advanced data science on real-life, curated problems

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

Introduction to Data Science

My solution to the book A Collection of Data Science Take-Home Challenges

Best Practices, code samples, and documentation for Computer Vision.

Resources for weekly Data Science Lunch & Learns

PHP-ML - Machine Learning library for PHP

Adventure into using multi attention recurrent neural networks for time-series (city traffic) for the 2017-11-18 McKinsey IronMan (24h non-stop) prediction challenge

USC urban data science course series with Python and Jupyter

A workshop on data privacy methods for data scientists.

A collection of personal data science projects

Course materials for Dartmouth Course: Storytelling with Data (PSYC 81.09).

ETL with Python - Taught at DWH course 2017 (TAU)

The data and code that used in my book.

Material for the EPFL master course "A Network Tour of Data Science", edition 2017.

🍧 A repository that contains courses I have taken on DataCamp

📢 Ready to learn or review your knowledge!

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。

Python Helper library for Jupyter Notebooks

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Talks & Workshops by the CODAIT team

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

🤖⚡️ scikit-learn tips

MRI analysis using PyTorch and MedicalTorch

🎓 Jupyter notebooks from UFC data science course

Information about my experiences on ethical hacking 💀

Word2Vec models with Twitter data using Spark. Blog:

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

Teaching materials in python at the @ENSAE

A site that displays up to date COVID-19 stats, powered by fastpages.

A collection of Jupyter/IPython notebooks

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

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

Source material for Python Like You Mean it

Projeto de análise de contratos com suspeita de superfaturamento e má qualidade na prestação de serviços.

Road to Machine Learning

Malware Data Science Reading Diary / Notes

Koç University deep learning framework.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Templates for jupyter notebooks

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

A jupyter notebook that provides analysis for StarCraft 2 replays

Tutorials and training material for the H2O Machine Learning Platform

GitHub Action for repo2docker

A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.