rasbt / stat451-machine-learning-fs20
STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)
☆414Updated 4 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
- This is a companion to the ‘Mathematical Foundations’ section of the book, Mathematics for Machine Learning by Marc Deisenroth, Aldo Fais…☆265Updated 4 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆565Updated 4 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆349Updated 3 years ago
- ☆146Updated 3 years ago
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆353Updated 3 years ago
- A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book☆868Updated 3 years ago
- Course: Deep Learning☆188Updated 9 months ago
- Cracking the Data Science Interview☆339Updated 5 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆905Updated 2 years ago
- Exercises and solutions to Stanford CS229 Machine Learning in Python☆189Updated last year
- Statistics and Machine Learning in Python☆191Updated last week
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 2 years ago
- Repository for Machine Learning resources, frameworks, and projects. Managed by the DLSU Machine Learning Group.☆540Updated 5 years ago
- Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.☆321Updated 7 months ago
- Interpretable Machine Learning with Python, published by Packt☆451Updated last year
- The accompanying code for the book "Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits". A practical guide to imp…☆130Updated last month
- Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks.…☆189Updated 3 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)☆483Updated 3 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆239Updated last year
- Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org☆440Updated 6 months ago
- Hands-On Gradient Boosting with XGBoost and Scikit-learn Published by Packt☆202Updated 2 years ago
- ☆342Updated 4 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…☆674Updated 2 years ago
- AI-related tutorials. Access any of them for free → https://towardsai.net/editorial☆1,004Updated 9 months ago
- Machine Learning notebooks for refreshing concepts.☆500Updated 3 years ago
- VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers☆697Updated 4 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆525Updated 5 years ago
- FREE ML Courses from Top Universities in CS☆248Updated 9 months ago
- Middlesex University Dubai: MSc Data Science. Modelling, Regression and Machine Learning track. Instructor: Dr. Ivan Reznikov☆76Updated last year
- Learning statistics with Python☆52Updated 4 years ago