ben519 / MLPB
Machine Learning Problem Bible | Problem Set Here >>
☆718Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for MLPB
- Scikit-learn tutorial at SciPy2016☆514Updated 5 years ago
- Scikit-Learn tutorial material for Scipy 2015☆576Updated 9 years ago
- My notes and superstitions about common machine learning algorithms☆365Updated 7 years ago
- Python coded examples and documentation of machine learning algorithms.☆613Updated 4 years ago
- useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html☆401Updated 6 years ago
- Some sample IPython notebooks for scikit-learn☆565Updated 11 months ago
- Ways of doing Data Science Engineering and Machine Learning in R and Python☆594Updated 3 years ago
- The ultimate reference guide to data wrangling with Python and R☆240Updated 2 years ago
- Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics☆536Updated 2 years ago
- Presentations from H2O meetups & conferences by the H2O.ai team☆409Updated last year
- A Python tool that automatically cleans data sets and readies them for analysis.☆1,055Updated 5 years ago
- Observations from Ian on successfully delivering data science products☆543Updated 3 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆318Updated last year
- PyData, The Complete Works of☆298Updated 7 years ago
- Official content for the Fall 2014 Harvard CS109 Data Science course☆317Updated 7 years ago
- Tutorial on scikit-learn and IPython for parallel machine learning☆1,592Updated 8 years ago
- ☆376Updated 6 years ago
- Tools for exploratory data analysis in Python☆644Updated 10 months ago
- Introduction to Deep Learning for Natural Language Processing☆605Updated 4 years ago
- Introduction to Statistics using Python☆899Updated 4 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆376Updated 9 years ago
- General Assembly's Data Science course in Washington, DC☆232Updated 5 months ago
- Materials for the "Introduction to Machine Learning" class☆228Updated 5 years ago
- Repository of my thesis "Understanding Random Forests"☆527Updated 8 years ago
- Machine Learning Tool Guides and Theory Notes☆421Updated 8 years ago
- Materials for my Pycon 2015 scikit-learn tutorial.☆895Updated 4 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆284Updated 7 years ago
- A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2…☆1,869Updated 2 years ago