Alternatives and similar repositories for ml-tutorial

Users that are interested in ml-tutorial are comparing it to the libraries listed below

• sylvaticus / MITx_6.86x
  Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
  ☆329Updated last year
• dnackat / mitx-6.86x-machine-learning
  Python code written for MIT's Machine Learning course offered on edX
  ☆124Updated 6 years ago
• Shawn-xyg / MITx-6.86x-Machine-Learning-with-Python
  Project code for MIT MOOC 6.86x on edX
  ☆15Updated 5 years ago
• TraceMyers / mitx-stats-notes
  Notes for 18.6501x, Fundamentals of Statistics on edX
  ☆96Updated 3 years ago
• blechturm / cheatsheet-18.6501x
  Community based cheatsheet for the MITx course 18.6501x Fundamentals of Statistics
  ☆44Updated 5 years ago
• mynameisjanus / 186501xStatistics
  CheatSheet for 18.6501x
  ☆26Updated 5 years ago
• Yolanda-HT / MIT_6.419x
  Data Analysis: Statistical Modeling and Computation in Applications
  ☆60Updated 4 years ago
• sbeignez / MITx-6.86x-Machine-Learning
  MITx 6.86x | Machine Learning with Python | From Linear Models to Deep Learning
  ☆52Updated 3 years ago
• mynameisjanus / 14310xDataAnalysis
  CheatSheet for 14.310x
  ☆11Updated 5 years ago
• roadfoodr / mitx-sds-resources
  Supplemental resources for courses in the MITx MicroMasters Program in Statistics and Data Science
  ☆47Updated 3 years ago
• martlaf / MITxMachineLearningClass
  EdX course from MIT on machine learning 6.86x
  ☆11Updated 4 years ago
• mynameisjanus / 6431xProbability
  CheatSheet for 6.431x
  ☆16Updated 4 years ago
• blechturm / MITx_capstone_1
  This is the first cheat-sheet for the MITx Statistics and Datascience capstone exam
  ☆40Updated 5 years ago
• mitx-data-science / 6.431x
  Probability - The Science of Uncertainty and Data
  ☆120Updated 6 years ago
• shilpa9a / Introduction_to_statistical_learning_summary_python
  Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.
  ☆185Updated last year
• trenton3983 / DataCamp
  Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.
  ☆92Updated last year
• KellyHwong / MIT-ML
  MITx: 6.86x Machine Learning with Python: from Linear Models to Deep Learning
  ☆16Updated 6 years ago
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆201Updated 3 years ago
• a-martyn / ISL-python
  Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
  ☆340Updated last year
• kaburelabs / Datacamp-Courses
  Some of my notebooks of Datacamp courses.
  ☆132Updated 5 years ago
• qx0731 / Sharing_ISL_python
  An Introduction to Statistical Learning with Applications in PYTHON
  ☆548Updated 3 years ago
• Yolanda-HT / MIT_18.6501x
  Fundamentals of Statistics
  ☆45Updated 4 years ago
• figureedge / MITx-6.86x-Machine-Learning-with-Python
  ☆10Updated 5 years ago
• agniiyer / Applied-Machine-Learning-in-Python
  University of Michigan on Coursera
  ☆56Updated 6 years ago
• PacktWorkshops / The-Data-Science-Workshop
  A New, Interactive Approach to Learning Data Science
  ☆239Updated last month
• tdpetrou / Machine-Learning-Books-With-Python
  Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python
  ☆939Updated 2 years ago
• MrGeislinger / flatiron-school-data-science-curriculum-resources
  Lesson material on data science and machine learning topics/concepts
  ☆151Updated 4 years ago
• tchagau / Introduction-to-Data-Science-in-Python
  This repository includes course assignments of Introduction to Data Science in Python on coursera by university of michigan
  ☆51Updated 4 years ago
• Qian-Han / coursera-Applied-Data-Science-with-Python
  Repository for coursera specialization Applied Data Science with Python by University of Michigan
  ☆290Updated 4 years ago
• koaning / calm-notebooks
  notebooks that are used at calmcode.io
  ☆315Updated 3 years ago