rasbt / stat479-machine-learning-fs19
Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison
☆730Updated 4 years ago
Alternatives and similar repositories for stat479-machine-learning-fs19:
Users that are interested in stat479-machine-learning-fs19 are comparing it to the libraries listed below
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆565Updated 4 years ago
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆525Updated 5 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆493Updated 6 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 2 years ago
- Collected opinions and advice for academic programs focused on data science skills.☆444Updated 4 years ago
- ☆342Updated 4 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆309Updated 4 years ago
- Tutorial for International Summer School on Deep Learning, 2019☆317Updated 2 years ago
- Data Science Best Practices with pandas☆528Updated 4 years ago
- ☆239Updated last year
- COMS W4995 Applied Machine Learning - Spring 19☆303Updated 5 years ago
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆595Updated 5 years ago
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆554Updated 2 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆236Updated 8 months ago
- 📘 Contains a series of hands-on notebooks for learning the fundamentals of NLP☆368Updated 4 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆247Updated 6 years ago
- Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.☆244Updated 5 years ago
- Advanced Machine Learning with Scikit-learn part I☆142Updated 4 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- Advanced Machine Learning with Scikit-learn part II☆163Updated 4 years ago
- Machine learning flashcards☆218Updated 3 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆273Updated 6 years ago
- The Python code to reproduce the illustrations from The Hundred-Page Machine Learning Book.☆1,854Updated 7 months ago
- fast.ai early development experiments☆642Updated last year
- Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)☆937Updated last year
- 50 scikit-learn tips☆1,726Updated 2 years ago
- Full Stack Deep Learning Online Course☆891Updated 3 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆349Updated 4 years ago
- Machine learning notebooks in different subjects optimized to run in google collaboratory☆370Updated 4 years ago
- Public Repository for cs109a, 2017 edition☆325Updated last year