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
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Personal repository of data science demonstrations and references☆76Updated 2 years ago
- Course notes for Computational Statistics and Statistical Compuing☆62Updated 5 years ago
- ☆108Updated 3 years ago
- Repository for the PyData DC 2016 tutorial☆29Updated 8 years ago
- Introductory overview of Bayesian inference☆44Updated 5 years ago
- Course page for DS-GA 3001.001 Modeling Time Series Data☆43Updated 6 years ago
- DataCamp Facebook Live Code Along Session 2: Learn how to complete a Kaggle competition using exploratory data analysis, data munging, da…☆61Updated 5 years ago
- PyMC3 tutorial for DataScience LA (January 2017)☆67Updated 6 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆166Updated 4 years ago
- Using Python to recreate the code and charts used throughout David Robinson's Introduction to Empirical Bayes☆27Updated 7 years ago
- ☆80Updated 8 years ago
- Tutorial covering a new workflow available going from pandas to scikit-learn☆40Updated 2 years ago
- ☆90Updated 4 years ago
- Tutorial Created for SciPy 2012☆58Updated 11 years ago
- ☆30Updated 7 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆105Updated 7 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- Experimenting with and teaching probabilistic programming☆103Updated 2 years ago
- Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.☆106Updated 6 years ago
- Utility functions used in the DataCamp Statistical Thinking courses.☆48Updated 3 years ago
- Presented at Scipy Conference 2019☆125Updated 4 years ago
- This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview☆40Updated 6 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆77Updated 6 years ago
- Learning statistics with Python☆53Updated 4 years ago
- Advanced Statistics, R code☆8Updated 9 years ago
- There are always multiple ways to complete a task in Pandas. A minimal subset of the library is sufficient for almost everything.☆83Updated 2 years ago
- Advanced Machine Learning with Scikit-learn part I☆142Updated 4 years ago
- Some notes on techniques for variance reduction to increase the power of A/B tests☆14Updated 5 years ago
- ☆100Updated 6 years ago