aburkov / theMLbook

Related projects: ⓘ

• hadrienj / deepLearningBook-Notes
  Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
  ☆1,778Updated 4 years ago
• hrnbot / Basic-Mathematics-for-Machine-Learning
  The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learni…
  ☆641Updated 2 years ago
• tirthajyoti / Machine-Learning-with-Python
  Practice and tutorial-style notebooks covering wide variety of machine learning techniques
  ☆3,071Updated last year
• dafriedman97 / mlbook
  Repository for the free online book Machine Learning from Scratch (link below!)
  ☆1,093Updated last year
• justmarkham / scikit-learn-tips
  50 scikit-learn tips
  ☆1,715Updated 2 years ago
• afshinea / stanford-cs-221-artificial-intelligence
  VIP cheatsheets for Stanford's CS 221 Artificial Intelligence
  ☆2,551Updated 4 years ago
• edyoda / data-science-complete-tutorial
  For extensive instructor led learning
  ☆1,791Updated last year
• shervinea / stanford-cme-106-probability-and-statistics
  VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
  ☆642Updated 4 years ago
• firmai / industry-machine-learning
  A curated list of applied machine learning and data science notebooks and libraries across different industries (by @firmai)
  ☆7,214Updated 3 months ago
• rasbt / stat479-machine-learning-fs19
  Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
  ☆694Updated 3 years ago
• ml874 / Data-Science-Cheatsheet
  ☆2,527Updated 2 years ago
• rasbt / python-machine-learning-book-2nd-edition
  The "Python Machine Learning (2nd edition)" book code repository and info resource
  ☆7,109Updated 3 years ago
• afshinea / stanford-cs-230-deep-learning
  VIP cheatsheets for Stanford's CS 230 Deep Learning
  ☆6,288Updated 4 years ago
• bfortuner / ml-glossary
  Machine learning glossary
  ☆3,005Updated last month
• Machine-Learning-Tokyo / AI_Curriculum
  Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
  ☆2,528Updated 3 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…
  ☆1,466Updated last month
• zotroneneis / machine_learning_basics
  Plain python implementations of basic machine learning algorithms
  ☆4,278Updated 2 months ago
• rasbt / python-machine-learning-book-3rd-edition
  The "Python Machine Learning (3rd edition)" book code repository
  ☆4,546Updated last year
• kojino / 120-Data-Science-Interview-Questions
  Answers to 120 commonly asked data science interview questions.
  ☆3,682Updated 8 months ago
• tirthajyoti / Papers-Literature-ML-DL-RL-AI
  Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
  ☆2,333Updated last year
• 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…
  ☆2,257Updated 5 months ago
• the-deep-learners / deep-learning-illustrated
  Deep Learning Illustrated (2020)
  ☆700Updated last year
• dformoso / sklearn-classification
  Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
  ☆690Updated 2 years ago
• wzchen / probability_cheatsheet
  A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
  ☆3,015Updated 2 years ago
• llSourcell / Learn_Data_Science_in_3_Months
  This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
  ☆2,697Updated 3 years ago
• mjbahmani / My-journey-in-the-data-science-world
  ☆1,052Updated this week
• shervinea / cheatsheet-translation
  Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence
  ☆889Updated last year
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆513Updated 5 years ago
• fastai / course-v3
  The 3rd edition of course.fast.ai
  ☆4,903Updated 3 months ago
• ageron / tf2_course
  Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
  ☆1,915Updated last year