Alternatives and similar repositories for learning-from-data

Users that are interested in learning-from-data are comparing it to the libraries listed below

• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆451Updated last year
• zhangqi-chen / Algorithms-Stanford
  Assignments (Python) in Algorithms Courses of Stanford University at Coursera
  ☆61Updated 6 years ago
• a-martyn / ISL-python
  Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
  ☆346Updated last year
• rickwierenga / CS229-Python
  Exercises and solutions to Stanford CS229 Machine Learning in Python
  ☆211Updated 2 years ago
• vbartle / MML-Companion
  This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…
  ☆300Updated 5 years ago
• sylvaticus / MITx_6.86x
  Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
  ☆333Updated 2 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
  Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
  ☆373Updated 4 years ago
• empathy87 / The-Elements-of-Statistical-Learning-Python-Notebooks
  A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
  ☆908Updated 4 years ago
• qx0731 / Sharing_ISL_python
  An Introduction to Statistical Learning with Applications in PYTHON
  ☆557Updated 4 years ago
• lujiazho / MachineLearningPlayground
  Implementation of basic mathematical pattern recognition/machine learning techniques for fun
  ☆136Updated 3 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…
  ☆424Updated 4 months ago
• niuers / Linear-Algebra-and-Learning-from-Data
  Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT
  ☆310Updated 3 years ago
• DustinAlandzes / machine-learning-with-python-cookbook-notes
  (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
  ☆290Updated 3 years ago
• krishnonwork / mathematical-methods-in-deep-learning-ipython
  Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhur…
  ☆243Updated last year
• AlessandroCorradini / Harvard-PH526x-Using-Python-for-Research
  Beginner Python course from Harvard University on edX
  ☆50Updated 6 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆578Updated 2 years ago
• CoveredInChocolate / AllStatistics
  Solutions for All of Statistics by Wasserman
  ☆13Updated 4 years ago
• buruzaemon / stats-110
  ☆211Updated 3 years ago
• rasbt / stat453-deep-learning-ss21
  STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)
  ☆539Updated 4 years ago
• Harvard-IACS / 2021-CS109B
  ☆47Updated 3 years ago
• huyfm / cs229-solution
  CS229 Solution (summer 2019, 2020).
  ☆18Updated 2 years ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆203Updated 3 years ago
• rkneusel9 / MathForDeepLearning
  Source code for the book "Math for Deep Learning" (No Starch Press)
  ☆176Updated 10 months 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…
  ☆296Updated 7 years ago
• botlnec / islp
  Solutions to 'An Introduction to Statistical Learning with Applications in R'... in Python!
  ☆35Updated last year
• qinhanmin2014 / machine-learning-Andrew-Ng
  Machine learning online course from Andrew Ng.
  ☆77Updated 6 years ago
• peteflorence / MachineLearning6.867
  My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867
  ☆350Updated last year
• siddhujetty / Product-analytics-insights-collection
  My Solutions to "A Collection of Data Science Take-Home Challenges" by Giulio Palombo.
  ☆79Updated 6 years ago
• briandalessandro / DataScienceCourse
  This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
  ☆758Updated 5 years ago
• ppaquay / Learning-from-Data-Solutions
  Repository of my solutions to the problems of "Learning from Data"
  ☆277Updated 5 years ago