bblais / Statistical-Inference-for-EveryoneLinks
Introductory Statistical Inference
☆146Updated last year
Alternatives and similar repositories for Statistical-Inference-for-Everyone
Users that are interested in Statistical-Inference-for-Everyone 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
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆356Updated 4 years ago
- Supplementary material for my book, Probably Overthinking It.☆155Updated 2 weeks ago
- Programming Exercises☆78Updated 10 years ago
- ☆316Updated 4 years ago
- 📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…☆110Updated 4 years ago
- Harvard CS109b Public Repository☆234Updated 4 years ago
- Tutorial: Bayesian Statistical Analysis in Python☆319Updated 6 years ago
- ☆86Updated 7 years ago
- Pandas tutorial for SciPy2015 and SciPy2016 conference☆142Updated 8 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 9 years ago
- Jupyter Notebooks derived from Allen Downey's book Think Bayes.☆395Updated 9 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☆545Updated 2 years ago
- PyData, The Complete Works of☆298Updated 8 years ago
- Course materials for teaching data visualization in Python.☆172Updated 9 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆76Updated 7 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆128Updated 8 years ago
- Notebook to download machine learning flashcards☆457Updated 5 years ago
- An introduction to implementing a number of scikit-learn classifiers, along with some data exploration☆102Updated 9 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆279Updated 8 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8☆116Updated 3 years ago
- Lecture content for UW Software Engineering for Data Scientists☆102Updated last year
- Code for Allen Downey's book Think Complexity, published by O'Reilly Media.☆112Updated 10 months ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆286Updated 7 years ago
- ☆26Updated 7 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆169Updated 4 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- Materials for PyCon 2017 presentation on optimizing Pandas code☆213Updated 5 years ago