Alternatives and similar repositories for Introduction_to_statistical_learning_summary_python

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

• jcrouser / islr-python
  ☆108Updated 3 years ago
• DataForScience / Probability
  Applied Probability Theory for Everyone
  ☆117Updated 8 months ago
• VSerpak / DSE210x-Statistics-and-Probability-in-Data-Science-using-Python
  UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python
  ☆60Updated 7 years ago
• PacktPublishing / Statistics-for-Machine-Learning
  Statistics for Machine Learning, published by Packt
  ☆155Updated 2 years ago
• gedeck / dmba
  Utility functions for "Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python"
  ☆78Updated last year
• tdg5 / stats-learning-notes
  Notes from Introduction to Statistical Learning
  ☆116Updated 7 years ago
• qx0731 / Sharing_ISL_python
  An Introduction to Statistical Learning with Applications in PYTHON
  ☆540Updated 3 years ago
• Pierian-Data / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆85Updated 8 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆247Updated 3 years ago
• tfolkman / byu_econ_applied_machine_learning
  The course work for the applied machine learning course I am teaching at BYU
  ☆136Updated 4 years ago
• khuyentran1401 / awesome-Python-data-science-books
  Probably the best curated list of data science books in Python
  ☆411Updated 2 years ago
• gabors-data-analysis / da_case_studies
  Codes for case studies for the Bekes-Kezdi Data Analysis textbook
  ☆207Updated last month
• Benlau93 / Data-Science-Curriculum
  Data Science Curriculum for the non-technical
  ☆64Updated 6 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…
  ☆276Updated 4 years ago
• Harvard-IACS / 2020-CS109A
  ☆114Updated 3 years ago
• PacktPublishing / Cleaning-Data-for-Effective-Data-Science
  Cleaning Data for Effective Data Science, published by Packt
  ☆99Updated 2 years ago
• pabloinsente / math-app-ml
  Essential mathematics for applied machine learning and data science
  ☆74Updated 3 years ago
• alexeygrigorev / mlbookcamp-page
  The webpage for ML Bookcamp
  ☆17Updated last year
• hadrienj / essential_math_for_data_science
  Data for the book Essential Math for Data Science
  ☆45Updated 4 years ago
• a-martyn / ISL-python
  Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
  ☆332Updated 11 months ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆73Updated 4 years ago
• olivierzach / GTx_6501
  Introduction to Analytics Modeling - Georgia Tech OMDS
  ☆53Updated 5 years ago
• guipsamora / awesome-datascience
  An awesome Data Science repository to learn and apply for real world problems.
  ☆28Updated 8 years ago
• TraceMyers / mitx-stats-notes
  Notes for 18.6501x, Fundamentals of Statistics on edX
  ☆96Updated 2 years ago
• jjw244 / UCSanDiegoX-DSE200x-Python-for-Data-Science
  UCSandDiego Micro Masters Program
  ☆35Updated 7 years ago
• mscaudill / IntroStatLearn
  Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.
  ☆105Updated 7 years ago
• dvaughan79 / analyticalskillsbook
  Code for the book Analytical Skills for AI and Data Science
  ☆47Updated 5 years ago
• Harvard-IACS / 2020-CS109B
  ☆54Updated 5 years ago
• khuyentran1401 / Python-data-science-code-snippet
  Useful data science and Python code snippets at Data Science Simplified
  ☆72Updated 3 years ago
• EricSchles / datascience_book
  ☆134Updated last year