sujitpal / statlearning-notebooksLinks
Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
☆378Updated 9 years ago
Alternatives and similar repositories for statlearning-notebooks
Users that are interested in statlearning-notebooks are comparing it to the libraries listed below
Sorting:
- Code for a workshop on statistical interference using computational methods in Python.☆225Updated 4 years ago
- Scikit-learn tutorials for the Scipy 2013 conference☆324Updated 8 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆286Updated 7 years ago
- Code material for a data science tutorial☆197Updated 8 years ago
- Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics☆546Updated 2 years ago
- General Assembly's Data Science course in Washington, DC☆234Updated last year
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆128Updated 8 years ago
- PyData, The Complete Works of☆298Updated 8 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆312Updated 3 years ago
- Some sample IPython notebooks for scikit-learn☆569Updated last year
- General Assembly's Data Science course in Washington, DC☆185Updated 3 years ago
- Tutorial: Bayesian Statistical Analysis in Python☆319Updated 6 years ago
- Scikit-learn tutorial at SciPy2016☆518Updated 6 years ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆150Updated 4 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆157Updated 6 years ago
- Using Project Jupyter for data science.☆259Updated 4 years ago
- Translating R Data Analyses to Python☆279Updated 7 years ago
- Official content for the Fall 2014 Harvard CS109 Data Science course☆318Updated 8 years ago
- Pandas tutorial for SciPy2015 and SciPy2016 conference☆142Updated 8 years ago
- A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.☆313Updated 4 years ago
- Python coded examples and documentation of machine learning algorithms.☆610Updated 4 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆279Updated 8 years ago
- Materials for the "Introduction to Machine Learning" class☆228Updated 6 years ago
- Scikit-Learn Tutorial for PyData Seattle 2015☆136Updated 10 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆326Updated 2 years ago
- A collection of tutorials on neural networks, using Theano☆223Updated 2 years ago
- Scikit-Learn tutorials☆130Updated 7 years ago
- STA663 Statistical Computing and Computation, Spring 2016☆87Updated 9 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- ☆197Updated 12 years ago