emredjan / ISL-pythonLinks
Porting the R code in ISL to python. Labs and exercises
☆199Updated 2 years ago
Alternatives and similar repositories for ISL-python
Users that are interested in ISL-python are comparing it to the libraries listed below
Sorting:
- My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Frie…☆415Updated 3 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆336Updated 11 months ago
- ☆108Updated 3 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆542Updated 3 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆895Updated 3 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆181Updated 11 months ago
- Chapter by Chapter notes, exercises and code for a variety of machine learning books using Python☆939Updated 2 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆247Updated 3 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆275Updated 8 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆105Updated 7 years ago
- Notes from Introduction to Statistical Learning☆117Updated 7 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆311Updated 5 years ago
- ☆114Updated 3 years ago
- Student Solutions to An Introduction to Statistical Learning with Applications in R☆207Updated 4 years ago
- Errata and code for Effective Pandas book☆363Updated 2 years ago
- Notes for 18.6501x, Fundamentals of Statistics on edX☆96Updated 2 years ago
- Cracking the Data Science Interview☆354Updated 5 years ago
- Pandas Cookbook Second Edition, published by Packt☆295Updated 2 years ago
- This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.☆753Updated 4 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆942Updated 2 years ago
- The course work for the applied machine learning course I am teaching at BYU☆136Updated 4 years ago
- Solutions to 'An Introduction to Statistical Learning with Applications in R'... in Python!☆34Updated 10 months ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆758Updated 4 years ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆209Updated 2 months ago
- STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)☆427Updated 9 months ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆348Updated 3 years ago
- Resources for Machine Learning Pocket Reference☆259Updated 3 years ago
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆361Updated 3 years ago
- UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python☆60Updated 7 years ago
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆281Updated 4 years ago