rasbt / stat451-machine-learning-fs20Links
STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
☆431Updated 10 months ago
Alternatives and similar repositories for stat451-machine-learning-fs20
Users that are interested in stat451-machine-learning-fs20 are comparing it to the libraries listed below
Sorting:
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆336Updated last year
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆284Updated 4 years ago
- Summary of each chapter of the book- Introduction of Statistical Learning (ISL), along with Python code & data.☆185Updated last year
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆573Updated 5 years ago
- Exercises and solutions to Stanford CS229 Machine Learning in Python☆196Updated last year
- Statistics and Machine Learning in Python☆199Updated 3 months ago
- Interpretable Machine Learning with Python, published by Packt☆470Updated 2 years ago
- ☆151Updated 3 years ago
- An Introduction to Statistical Learning with Applications in PYTHON☆544Updated 3 years ago
- (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form☆288Updated 2 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆899Updated 4 years ago
- Porting the R code in ISL to python. Labs and exercises☆199Updated 3 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆247Updated 3 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆348Updated 3 years ago
- The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learni…☆697Updated 2 years ago
- I am sharing my Journey of 66DaysofData in Natural Language Processing.☆188Updated last year
- Repository for the free online book Machine Learning from Scratch (link below!)☆1,230Updated last year
- Cracking the Data Science Interview☆357Updated 5 years ago
- Python Feature Engineering Cookbook, published by Packt☆481Updated 2 years ago
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆363Updated 3 years ago
- Probability - The Science of Uncertainty and Data☆117Updated 6 years ago
- ☆345Updated 4 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)☆509Updated 3 years ago
- Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org☆455Updated last year
- Probably the best curated list of data science books in Python☆414Updated 2 years ago
- FREE ML Courses from Top Universities in CS☆251Updated last year
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆957Updated 2 years ago
- Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning☆324Updated last year
- Python Machine Learning By Example Third Edition, published by Packt☆203Updated 2 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆537Updated 6 years ago