Wei2624 / AI_Learning_Hub
AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
☆58Updated 2 years ago
Alternatives and similar repositories for AI_Learning_Hub:
Users that are interested in AI_Learning_Hub are comparing it to the libraries listed below
- Python Tips for Data Scientist☆26Updated 2 years ago
- Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow 2nd Edition by Aurélien Géron☆27Updated 3 years ago
- Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyan…☆14Updated 4 years ago
- Course notes for Computational Statistics and Statistical Compuing☆62Updated 5 years ago
- Code and data for the second edition of the textbook `Machine Learning: An Algorithm Perspective" by Stephen Marsland.☆150Updated 3 years ago
- Machine learning, Deep Learning, CNN with PyTorch☆80Updated 4 years ago
- 记录本校高等概率论课程笔记☆35Updated 6 years ago
- A collection of useful files for the Advanced Machine Learning (GR5242) Fall 2018 course.☆32Updated 6 years ago
- deeplearning.ai☆38Updated 6 years ago
- it contains all my python demo code accompanying my machine learning notes☆78Updated 3 months ago
- Resources for STA 633 class☆165Updated 7 years ago
- This repo has moved to https://github.com/INRIA/scikit-learn-mooc/☆41Updated 4 years ago
- Hands On Transfer Learning with Python, published by Packt☆82Updated last year
- 记录edx的哥伦比亚大学机器学习课程资料☆17Updated 6 years ago
- DS-GA 1003[Spring 2019]☆11Updated 4 years ago
- 该项目是关于机器学习经典书籍《Pattern Recognition and Machine Learning》的学习笔记,我用python实现了书中的一些实例,希望帮助感兴趣的人更好的理解☆77Updated 7 years ago
- Ensemble Machine Learning Cookbook, published by Packt☆57Updated last year
- NineChapterBasic☆14Updated 6 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆303Updated 5 years ago
- DS-GA 3001.001/.002 Probabilistic time series analysis Fall 2018☆16Updated 6 years ago
- My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)☆27Updated 7 years ago
- Feature Engineering Made Easy, published by Packt☆215Updated last year
- Source code for 'Practical Machine Learning with Python' by Dipanjan Sarkar, Raghav Bali, and Tushar Sharma☆122Updated 7 years ago
- D2L 1-day crash course in Chinese☆152Updated 5 years ago
- 蚂蚁金服-用户精确定位比赛☆12Updated 7 years ago
- Updated code for the Learning Data Mining With Python book☆73Updated 6 years ago
- ☆69Updated 5 years ago