Machine Learning Coursera
Stanford Machine Learning MOOC from Coursera by Andrew Ng.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Machine Learning Specialization Coursera | 2,082 | 4 months ago | 16 | mit | Jupyter Notebook | |||||
| Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG | ||||||||||
| Robotics Coursework | 1,762 | 2 years ago | 5 | unlicense | ||||||
| 🤖 Places where you can learn robotics (and stuff like that) online 🤖 | ||||||||||
| Computer Science Cn | 1,215 | 8 months ago | 7 | mit | ||||||
| 🎓计算机技术与科学自学之旅 | ||||||||||
| Online Courses Learning | 318 | a year ago | 2 | mit | JavaScript | |||||
| Contains the online course about Data Science, Machine Learning, Programming Language, Operating System, Mechanial Engineering, Mathematics and Robotics provided by Coursera, Udacity, Linkedin Learning, Udemy and edX. | ||||||||||
| University Of California San Diego Big Data Specialization | 153 | 2 years ago | 14 | Jupyter Notebook | ||||||
| Repository for the Big Data Specialization from University of California San Diego on Coursera | ||||||||||
| Dl_coursera | 119 | 3 years ago | 3 | September 21, 2019 | 13 | mit | Python | |||
| A simple, fast, and reliable Coursera crawling & downloading tool | ||||||||||
| Bayesian Methods For Ml | 99 | 4 years ago | Jupyter Notebook | |||||||
| Materials for "Bayesian Methods for Machine Learning" Coursera MOOC | ||||||||||
| Mooc | 58 | 5 years ago | ||||||||
| 计算机专业本科教学优质MOOC推荐 | ||||||||||
| Rust Algs4 | 49 | 8 years ago | 7 | October 20, 2015 | 2 | mit | Rust | |||
| Algorithms, 4th Edition. Coursera MOOC. in Rust. | ||||||||||
| Big Data Analysis With Scala And Spark | 45 | 7 years ago | 1 | Scala | ||||||
| My submissions for the Coursera MOOC "Big Data Analysis with Scala and Spark" given by EPFL. | ||||||||||
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