MichiganDataScienceTeam / 2018-tutorialsLinks
MDST Tutorial Series
☆28Updated 6 years ago
Alternatives and similar repositories for 2018-tutorials
Users that are interested in 2018-tutorials are comparing it to the libraries listed below
Sorting:
- List of Machine Learning & Data Science Conferences☆82Updated 5 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆239Updated 3 months ago
- Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA☆137Updated 8 years ago
- Lecture slides and quizzes for Leskovec, Rajaraman, and Ullman's "Mining of Massive Datasets" Stanford course☆89Updated 7 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆157Updated 6 years ago
- Course material for STAT 479: Machine Learning (FS 2018) at University Wisconsin-Madison☆492Updated 6 years ago
- A constantly updated python machine learning cheatsheet☆166Updated 8 years ago
- A step-by-step guide to get started with Applied Machine Learning☆140Updated 6 years ago
- Deep Learning Study Group☆326Updated 4 years ago
- Public Repository for cs109a, 2017 edition☆326Updated 2 years ago
- Advanced Machine Learning with Scikit-learn part II☆164Updated 5 years ago
- Repository for CS282R: Robust Machine Learning at Harvard University.☆73Updated 7 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Delta believes in building technical capacity all over the world. We believe that data is powerful, and that anybody should be able to ha…☆25Updated 7 years ago
- A compiled list of kaggle competitions and their winning solutions for regression problems.☆148Updated 9 years ago
- Advanced Machine Learning with Scikit-learn part I☆142Updated 5 years ago
- Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.☆37Updated 5 years ago
- Codes, notes and guides on Udacity's machine learning nanodegree.☆83Updated 8 years ago
- Lecture content for UW Software Engineering for Data Scientists☆102Updated last year
- ☆101Updated 7 years ago
- Machine learning fundamentals lesson in interactive notebooks☆179Updated 4 years ago
- A few notebooks on deep learning with PyTorch☆45Updated 3 years ago
- Harvard CS109b Public Repository☆234Updated 4 years ago
- Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.☆93Updated 7 years ago
- Projects for my Udacity Data Analyst Nanodegree☆103Updated 4 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- ⛔️ DEPRECATED — Exercises and solutions to accompany my Safari course introducing TensorFlow.☆177Updated last year
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- Personal repository of data science demonstrations and references☆77Updated 2 years ago
- Implementation of deep learning algorithms and papers. Python, Tensorflow, PyTorch.☆46Updated 7 years ago