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☆534Updated 5 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆570Updated 5 years ago
- Collected opinions and advice for academic programs focused on data science skills.☆443Updated 4 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆273Updated 6 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- Public Repository for cs109a, 2017 edition☆326Updated last year
- Notebook to download machine learning flashcards☆456Updated 4 years ago
- Tutorial for International Summer School on Deep Learning, 2019☆317Updated 3 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆324Updated 2 years ago
- Data Science Resources☆79Updated last month
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 6 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆275Updated 8 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆266Updated 4 years ago
- Advanced Machine Learning with Scikit-learn part I☆142Updated 5 years ago
- Notes taken from Google Machine Learning Course provided to public for practice & correction.☆199Updated 2 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆301Updated 5 years ago
- Notes from Introduction to Statistical Learning☆116Updated 7 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆310Updated 5 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- A constantly updated python machine learning cheatsheet☆166Updated 7 years ago
- Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison☆744Updated 4 years ago
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆595Updated 5 years ago
- Notebook and slides for my talk at Pydata NYC 2018☆88Updated 10 months ago
- Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boost☆422Updated 6 years ago
- Advanced Machine Learning with Scikit-learn part II☆163Updated 5 years ago
- Deep Learning Study Group☆321Updated 4 years ago
- These are the tips for "5 Steps to Pass Data Science Interviews" By Siraj Raval on Youtube☆246Updated 4 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆245Updated 3 years ago
- OLD REPO - PLEASE USE fastai/fastai☆180Updated 2 years ago