Alternatives and similar repositories for theMLbook

Users that are interested in theMLbook are comparing it to the libraries listed below

• justmarkham / scikit-learn-tips
  50 scikit-learn tips
  ☆1,731Updated 2 years ago
• dafriedman97 / mlbook
  Repository for the free online book Machine Learning from Scratch (link below!)
  ☆1,219Updated last year
• dformoso / sklearn-classification
  Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
  ☆693Updated 3 years ago
• jakevdp / sklearn_tutorial
  Materials for my scikit-learn tutorial
  ☆1,791Updated 2 years ago
• maitbayev / the-elements-of-statistical-learning
  My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…
  ☆412Updated 3 years ago
• anhquan0412 / basic_model_scratch
  Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
  ☆595Updated 5 years ago
• fastai / course-nlp
  A Code-First Introduction to NLP course
  ☆3,447Updated 2 years ago
• Machine-Learning-Tokyo / AI_Curriculum
  Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
  ☆2,546Updated 4 years ago
• WillKoehrsen / machine-learning-project-walkthrough
  An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all…
  ☆1,195Updated 2 years ago
• ml874 / Data-Science-Cheatsheet
  ☆2,569Updated 2 years ago
• trekhleb / machine-learning-experiments
  🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
  ☆1,707Updated 6 months ago
• rasbt / stat479-machine-learning-fs19
  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
  ☆748Updated 4 years ago
• WillKoehrsen / Machine-Learning-Projects
  Machine Learning Experiments and Work
  ☆650Updated 2 years ago
• afshinea / stanford-cs-221-artificial-intelligence
  VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
  ☆2,727Updated 5 years ago
• dipanjanS / practical-machine-learning-with-python
  Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveragi…
  ☆2,326Updated last year
• ageron / tf2_course
  Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
  ☆1,918Updated 2 years ago
• practical-nlp / practical-nlp-code
  Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
  ☆1,380Updated last year
• edyoda / data-science-complete-tutorial
  For extensive instructor led learning
  ☆1,811Updated 2 years ago
• rasbt / python-machine-learning-book-2nd-edition
  The "Python Machine Learning (2nd edition)" book code repository and info resource
  ☆7,166Updated 4 years ago
• dair-ai / pytorch_notebooks
  🔥 A collection of PyTorch notebooks for learning and practicing deep learning
  ☆564Updated 2 years ago
• lexfridman / mit-deep-learning
  Tutorials, assignments, and competitions for MIT Deep Learning related courses.
  ☆10,299Updated last year
• zotroneneis / machine_learning_basics
  Plain python implementations of basic machine learning algorithms
  ☆4,379Updated 11 months ago
• hundredblocks / ml-powered-applications
  Companion repository for the book Building Machine Learning Powered Applications
  ☆675Updated 2 years ago
• neomatrix369 / awesome-ai-ml-dl
  Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources o…
  ☆1,537Updated 10 months ago
• tdpetrou / Machine-Learning-Books-With-Python
  Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
  ☆932Updated 2 years ago
• dair-ai / nlp_paper_summaries
  ✍️ A carefully curated list of NLP paper summaries
  ☆1,481Updated 3 years ago
• AllenDowney / ElementsOfDataScience
  An introduction to data science in Python, for people with no programming experience.
  ☆424Updated 3 weeks ago
• zslucky / awesome-AI-books
  Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
  ☆1,432Updated 2 years ago
• JWarmenhoven / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆4,323Updated 2 years ago
• the-full-stack / course-gitbook
  Full Stack Deep Learning Online Course
  ☆898Updated 3 years ago