a-martyn / ISL-pythonLinks
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
☆344Updated last year
Alternatives and similar repositories for ISL-python
Users that are interested in ISL-python are comparing it to the libraries listed below
Sorting:
- An Introduction to Statistical Learning with Applications in PYTHON☆549Updated 3 years ago
- Porting the R code in ISL to python. Labs and exercises☆202Updated 3 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆903Updated 4 years ago
- ☆110Updated 4 years ago
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆419Updated last month
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆185Updated last year
- ☆115Updated 3 years ago
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆940Updated 2 years ago
- Solutions to exercises from Introduction to Statistical Learning (ISLR 1st Edition)☆177Updated 3 years ago
- Solutions to 'An Introduction to Statistical Learning with Applications in R'... in Python!☆35Updated last year
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆440Updated last year
- Homework assignments for ISYE 6740 Computational Data Analysis (Spring 2022)☆12Updated 3 years ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 3 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆968Updated 3 years ago
- A dump of all the data science materials (mostly pdf's) that I have accumulated over the years☆391Updated 4 years ago
- ☆140Updated 3 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆293Updated 4 years ago
- Student Solutions to An Introduction to Statistical Learning with Applications in R☆207Updated 4 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆213Updated last month
- Pandas Cookbook Second Edition, published by Packt☆293Updated 2 years ago
- Data Analysis: Statistical Modeling and Computation in Applications☆60Updated 4 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆106Updated 8 years ago
- Cracking the Data Science Interview☆361Updated 5 years ago
- A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python☆146Updated 7 months ago
- Fundamentals of Statistics☆45Updated 4 years ago
- An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code☆4,367Updated 3 years ago
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆368Updated 4 years ago
- Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.☆92Updated last year
- This repository contains the solutions to the exercises and labs from the book "An Introduction to Statistical Learning Second Edition".☆49Updated 2 years ago
- Hands-On Data Preprocessing in Python, published by Packt☆203Updated last month