Alternatives and similar repositories for Mining-Massive-Data-Sets

Users that are interested in Mining-Massive-Data-Sets are comparing it to the libraries listed below

• nancyyanyu / machine_learning_study_notes
  Studying notes of ISLR, ESL, and other Machine Learning books. Check a more user friendly version on my personal website https://nancyyan…
  ☆14Updated 5 years ago
• soo-pecialist / Hands_on_ML_w_Scikit_Karas_and_TensorFlow
  Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow 2nd Edition by Aurélien Géron
  ☆27Updated 4 years ago
• Dod-o / LeetCode
  ☆27Updated 5 years ago
• NicolasDurrande / Gaussian-Process-Regression-handout
  ☆40Updated 8 years ago
• 2wavetech / Probabilistic-Graphical-Model
  This repository contains my implementation of the programming assignments of Probabilistic Graphical Models delivered by Stanford Univers…
  ☆35Updated 8 years ago
• kushagra06 / CS230_DL
  ♊ Stanford CS230 : Deep Learning
  ☆16Updated 6 years ago
• marsggbo / machine_learning_basics_notes
  机器学习白板推导系列笔记总结
  ☆31Updated 5 years ago
• dgkim5360 / the-elements-of-statistical-learning-notebooks
  Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…
  ☆293Updated 7 years ago
• ZhuoruLin / DSGA1003_ML
  NYU Data Science Course DSGA-1003 Machine Learning Assignments.
  ☆31Updated 8 years ago
• shree-ranga / DSTakehomeChallenges
  Solutions to the book "Collection of Data Science TakeHome Challenges" in Python.
  ☆10Updated 7 years ago
• Shujian2015 / Kaggle-Mercari
  32/2384 Solution to Kaggle Mercari Competition (solo silver medal winner)
  ☆21Updated 7 years ago
• stappit / all-of-statistics
  Solutions to Wasserman's 'All of Statistics'.
  ☆104Updated 6 years ago
• lanttern / Recommender-System
  Coursera
  ☆12Updated 9 years ago
• Wei2624 / AI_Learning_Hub
  AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics
  ☆58Updated 3 years ago
• nsanghi / bayesian-methods-for-ml
  My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)
  ☆27Updated 7 years ago
• Jeffershaw / UCL_DSML_note
  The note for data science and machine learning program
  ☆11Updated 6 years ago
• kojino / Harvard-Robust-Machine-Learning
  Repository for CS282R: Robust Machine Learning at Harvard University.
  ☆73Updated 7 years ago
• tirthajyoti / PyTorch_Machine_Learning
  Machine learning, Deep Learning, CNN with PyTorch
  ☆80Updated 5 years ago
• d2l-ai / notebooks
  ☆69Updated 6 years ago
• davidrosenberg / ml2019
  DS-GA 1003: Machine Learning Course Webpage
  ☆15Updated 2 years ago
• murufeng / awesome-machine-learning
  A curated list of awesome machine Learning tutorials,courses and communities.
  ☆43Updated 5 years ago
• ianxxiao / reinforcement_learning_project
  This repo is for a reinforcement learning project using citiBike data
  ☆29Updated 6 years ago
• econti / cs229
  Stanford CS229 (Autumn 2017)
  ☆369Updated 7 years ago
• xbresson / CE7454_2018
  Deep learning course CE7454, 2018
  ☆79Updated 6 years ago
• ks838 / Murphy-Machine-Learning-A-Probabilistic-Perspective-Errata-and-Notes-4th-printing
  Murphy's Machine Learning: A Probabilistic Perspective Errata (4th and later printings)
  ☆68Updated 5 years ago
• yiboyang / PRMLPY
  Python demos for Chris Bishop's PRML textbook, and other machine learning stuff
  ☆23Updated 4 years ago
• vagmcs / PRML
  PRML notes, proofs and algorithms implemented in Python
  ☆38Updated last month
• feng-li / Distributed-Statistical-Computing
  Teaching Materials for Distributed Statistical Computing (大数据分布式计算教学材料)
  ☆108Updated last year
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆137Updated 5 years ago
• kushagra06 / CS221_AI
  🥚 Stanford CS221: Artificial Intelligence: Principles and Techniques
  ☆83Updated 6 years ago