rasbt / stat479-machine-learning-fs18
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
☆492Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for stat479-machine-learning-fs18
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆516Updated 5 years ago
- Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison☆706Updated 3 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆560Updated 4 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆270Updated 6 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆305Updated 4 years ago
- Advanced Machine Learning with Scikit-learn part I☆140Updated 4 years ago
- Advanced Machine Learning with Scikit-learn part II☆162Updated 4 years ago
- Collected opinions and advice for academic programs focused on data science skills.☆443Updated 4 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆246Updated 6 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 2 years ago
- Notebook to download machine learning flashcards☆451Updated 4 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆284Updated 6 years ago
- Tutorial for International Summer School on Deep Learning, 2019☆316Updated 2 years ago
- ☆341Updated 4 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆304Updated 5 years ago
- Intermediate Machine Learning with Scikit-learn, 4h interactive workshop☆126Updated 3 years ago
- Basics of programming: algorithms, data structures, object oriented programming☆94Updated 6 years ago
- ☆108Updated 3 years ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆348Updated 2 years ago
- Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boost☆420Updated 5 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆345Updated 4 years ago
- Public Repository for cs109a, 2017 edition☆326Updated last year
- PyTorch Tutorial (1.7)☆454Updated 3 years ago
- Code material for a data science tutorial☆195Updated 7 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 5 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆263Updated 4 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆164Updated 5 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆284Updated 7 years ago
- 🔥 A collection of PyTorch notebooks for learning and practicing deep learning☆538Updated last year
- The code for the prize winners in DrivenData competitions.☆386Updated 3 months ago