rasbt / stat479-machine-learning-fs18Links
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
Sorting:
- Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison☆542Updated 6 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 7 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆279Updated 7 years ago
- STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2020)☆575Updated 5 years ago
- Collected opinions and advice for academic programs focused on data science skills.☆440Updated 5 years ago
- Course material for STAT 479: Machine Learning (FS 2019) taught by Sebastian Raschka at University Wisconsin-Madison☆764Updated 4 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆311Updated 5 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆270Updated 5 years ago
- COMS W4995 Applied Machine Learning - Spring 20☆246Updated 3 years ago
- Advanced Machine Learning with Scikit-learn part I☆143Updated 5 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- Advanced Machine Learning with Scikit-learn part II☆163Updated 5 years ago
- Jupyter Tips, Tricks, Best Practices with Sample Code for Productivity Boost☆422Updated 6 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆287Updated 8 years ago
- A constantly updated python machine learning cheatsheet☆167Updated 8 years ago
- Notebook to download machine learning flashcards☆456Updated 5 years ago
- Public Repository for cs109a, 2017 edition☆327Updated 2 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆280Updated 8 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆330Updated 2 years ago
- Data science teaching materials☆152Updated 8 months ago
- ☆107Updated 7 years ago
- COMS W4995 Applied Machine Learning - Spring 19☆302Updated 6 years ago
- Machine learning flashcards☆221Updated 4 years ago
- Notes taken from Google Machine Learning Course provided to public for practice & correction.☆204Updated 2 years ago
- Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library☆596Updated 5 years ago
- Deep Learning Study Group☆330Updated 4 years ago
- A tiny lib with pocket-sized implementations of machine learning models in NumPy, most of which will fit in a tweet.☆567Updated 2 years ago
- Sam Finlayson's Academic blog☆95Updated 5 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆149Updated 9 years ago