Alternatives and similar repositories for The-Elements-of-Statistical-Learning-Python-Notebooks

Users that are interested in The-Elements-of-Statistical-Learning-Python-Notebooks are comparing it to the libraries listed below

• 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…
  ☆419Updated last month
• 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
• qx0731 / Sharing_ISL_python
  An Introduction to Statistical Learning with Applications in PYTHON
  ☆550Updated 3 years ago
• a-martyn / ISL-python
  Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
  ☆344Updated last year
• emredjan / ISL-python
  Porting the R code in ISL to python. Labs and exercises
  ☆203Updated 3 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…
  ☆294Updated 5 years ago
• davidrosenberg / mlcourse
  Machine learning course materials.
  ☆576Updated 2 years ago
• tirthajyoti / Stats-Maths-with-Python
  General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
  ☆973Updated 3 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning-2E
  Second edition of Springer Book Python for Probability, Statistics, and Machine Learning
  ☆368Updated 4 years ago
• unpingco / Python-for-Probability-Statistics-and-Machine-Learning
  Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"
  ☆787Updated 3 years ago
• rasbt / stat451-machine-learning-fs20
  STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
  ☆443Updated last year
• JWarmenhoven / DBDA-python
  Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
  ☆689Updated 4 years ago
• jcrouser / islr-python
  ☆110Updated 4 years ago
• TraceMyers / mitx-stats-notes
  Notes for 18.6501x, Fundamentals of Statistics on edX
  ☆96Updated 3 years ago
• telmo-correa / all-of-statistics
  Self-study on Larry Wasserman's "All of Statistics"
  ☆1,179Updated 2 years ago
• briandalessandro / DataScienceCourse
  This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
  ☆756Updated 4 years ago
• 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
• aloctavodia / BAP
  Bayesian Analysis with Python (Second Edition)
  ☆674Updated 2 years ago
• JWarmenhoven / ISLR-python
  An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
  ☆4,365Updated 3 years ago
• shervinea / stanford-cme-106-probability-and-statistics
  VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
  ☆792Updated 5 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆246Updated 3 years ago
• rasbt / stat479-deep-learning-ss19
  Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison
  ☆542Updated 6 years ago
• PacktPublishing / Hands-On-Gradient-Boosting-with-XGBoost-and-Scikit-learn
  Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt
  ☆214Updated 2 months ago
• BayesianModelingandComputationInPython / BookCode_Edition1
  ☆551Updated last year
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆302Updated 6 years ago
• jilmun / ISLR
  Student Solutions to An Introduction to Statistical Learning with Applications in R
  ☆204Updated 4 years ago
• PacktPublishing / Interpretable-Machine-Learning-with-Python
  Interpretable Machine Learning with Python, published by Packt
  ☆475Updated 2 months ago
• ericmjl / bayesian-stats-modelling-tutorial
  How to do Bayesian statistical modelling using numpy and PyMC3
  ☆670Updated 3 years ago
• Harvard-IACS / 2021-CS109B
  ☆47Updated 3 years ago
• JifuZhao / 120-DS-Interview-Questions
  My Answer to 120 Data Science Interview Questions
  ☆503Updated 5 years ago