rasbt / stat479-machine-learning-fs18
Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison
☆493Updated 6 years ago
Alternatives and similar repositories for stat479-machine-learning-fs18:
Users that are interested in stat479-machine-learning-fs18 are comparing it to the libraries listed below
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆527Updated 5 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆565Updated 4 years ago
- Notebook to download machine learning flashcards☆455Updated 4 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 3 years ago
- A constantly updated python machine learning cheatsheet☆167Updated 7 years ago
- Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boost☆422Updated 6 years ago
- Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics☆539Updated 2 years ago
- Sam Finlayson's Academic blog☆95Updated 4 years ago
- Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison☆733Updated 4 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- Collected opinions and advice for academic programs focused on data science skills.☆443Updated 4 years ago
- Tutorial for International Summer School on Deep Learning, 2019☆317Updated 2 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆272Updated 8 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☆266Updated 4 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆350Updated 4 years ago
- Advanced Machine Learning with Scikit-learn part I☆142Updated 4 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆303Updated 5 years ago
- Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Frie…☆286Updated 6 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆310Updated 4 years ago
- Data Science Resources☆78Updated 3 months ago
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 6 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆273Updated 6 years ago
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆595Updated 5 years ago
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆677Updated 3 years ago
- Code material for a data science tutorial☆197Updated 7 years ago
- Materials for "Bayesian Methods for Machine Learning" Coursera MOOC☆134Updated 4 years ago
- Neural networks from scratch☆108Updated 4 years ago