aburkov / theMLbookLinks
The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.
☆1,958Updated last year
Alternatives and similar repositories for theMLbook
Users that are interested in theMLbook are comparing it to the libraries listed below
Sorting:
- Repository for the free online book Machine Learning from Scratch (link below!)☆1,222Updated last year
- Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)☆1,785Updated 5 years ago
- Data Science Notebook on a Classification Task, using sklearn and Tensorflow.☆696Updated 3 years ago
- Machine learning glossary☆3,078Updated 11 months ago
- Deep Learning for Coders, 2020, the website☆842Updated 2 years ago
- Companion repository for the book Building Machine Learning Powered Applications☆679Updated 2 years ago
- Practice and tutorial-style notebooks covering wide variety of machine learning techniques☆3,231Updated 2 years ago
- 50 scikit-learn tips☆1,735Updated 2 years ago
- A curated list of awesome Machine Learning frameworks, libraries and software.☆64Updated 4 years ago
- Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison☆753Updated 4 years ago
- Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources o…☆1,561Updated last week
- Full Stack Deep Learning Online Course☆899Updated 3 years ago
- Deep Learning Illustrated (2020)☆749Updated 2 years ago
- Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.☆2,548Updated 4 years ago
- Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveragi…☆2,338Updated last year
- Lab materials for the Full Stack Deep Learning Course☆1,211Updated 3 years ago
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆573Updated 2 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆536Updated 6 years ago
- A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.☆3,098Updated 3 years ago
- Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course☆1,920Updated 2 years ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆428Updated 9 months ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆762Updated 4 years ago
- ☆1,041Updated 4 years ago
- A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)☆7,370Updated 9 months ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆572Updated 5 years ago
- Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)☆937Updated last year
- Documenting my python implementation of Andrew Ng's Machine Learning course☆311Updated 6 years ago
- Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.☆648Updated 5 years ago
- A Code-First Introduction to NLP course☆3,451Updated 2 years ago
- For extensive instructor led learning☆1,813Updated 2 years ago