tsansom / islpy
Notes on "An Introduction to Statistical Learning" with Applications in Python
☆9Updated 7 years ago
Alternatives and similar repositories for islpy:
Users that are interested in islpy are comparing it to the libraries listed below
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆105Updated 7 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Course notes for Computational Statistics and Statistical Compuing☆63Updated 6 years ago
- Repository for the PyData DC 2016 tutorial☆29Updated 8 years ago
- ☆80Updated 8 years ago
- Lecture Slides, Exercises, and Deployment Materials for "Foundations of Numerical Computing"☆81Updated 2 years ago
- Introductory overview of Bayesian inference☆44Updated 6 years ago
- ☆107Updated 3 years ago
- Jupyter notebooks with the Python equivalent to the R code sections in Blitzstein and Hwang's Introduction To Probability, Second Edition☆73Updated 6 years ago
- ☆30Updated 7 years ago
- Advanced Machine Learning with Scikit-learn part I☆142Updated 5 years ago
- A Tour of Time Series Analysis☆23Updated 8 years ago
- Personal repository of data science demonstrations and references☆76Updated 2 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆166Updated 4 years ago
- Presented at Scipy Conference 2019☆125Updated 5 years ago
- Advanced Statistics, R code☆8Updated 9 years ago
- ☆90Updated 4 years ago
- Explorations of survival analysis in Python☆50Updated 2 years ago
- Repo for PyData 2019 Tutorial - New Trends in Estimation and Inference☆25Updated 5 years ago
- ☆48Updated 6 years ago
- JupyterCon Missing Data Talk 2018☆23Updated 6 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆105Updated 6 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆77Updated 6 years ago
- Advanced Machine Learning with Scikit-learn part II☆163Updated 5 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- Code snippets from Jason Brownlee's ML and Deep Learning books.☆12Updated 8 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆16Updated 6 years ago
- A python tutorial on bayesian modeling techniques (PYMC3)☆20Updated 9 years ago
- Tutorial Created for SciPy 2012☆58Updated 11 years ago
- Learning statistics with Python☆53Updated 4 years ago