thomas-haslwanter / statsintro_python
Python modules and IPython Notebooks, for the book "Introduction to Statistics With Python"
☆873Updated 3 years ago
Alternatives and similar repositories for statsintro_python:
Users that are interested in statsintro_python are comparing it to the libraries listed below
- Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code☆679Updated 3 years ago
- Statistical Data Analysis in Python☆1,607Updated 9 years ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆772Updated 2 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆275Updated 8 years ago
- An introduction to data science using Python and Pandas with Jupyter notebooks☆862Updated 4 years ago
- Interactive Web Plotting with Bokeh in IPython notebook☆735Updated last year
- Introduction to Statistics using Python☆905Updated 4 years ago
- General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python☆923Updated 2 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆324Updated 2 years ago
- Tutorials on how to use pandas effectively to do data analysis☆1,107Updated 2 years ago
- Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics☆541Updated 2 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆224Updated 4 years ago
- Second edition of Springer Book Python for Probability, Statistics, and Machine Learning☆359Updated 3 years ago
- Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke☆900Updated 3 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆379Updated 9 years ago
- Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]☆737Updated 3 years ago
- Resources for STA 633 class☆168Updated 7 years ago
- Materials for my scikit-learn tutorial☆1,790Updated 2 years ago
- Data Science Best Practices with pandas☆529Updated 5 years ago
- Code of the IPython Minibook, 2nd edition (2015)☆346Updated 4 years ago
- ☆107Updated 3 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆166Updated 4 years ago
- Exercises from 'Introduction to Statistical Learning with Applications in R' written in Python.☆105Updated 7 years ago
- Tutorial: Bayesian Statistical Analysis in Python☆318Updated 5 years ago
- Scikit-learn tutorials for the Scipy 2013 conference☆325Updated 7 years ago
- General Assembly's Data Science course in Washington, DC☆799Updated 4 years ago
- Using pandas for Better (and Worse) Data Science☆322Updated 5 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆351Updated 4 years ago
- Pandas tutorial for SciPy 2019☆101Updated last year