bblais / Statistical-Inference-for-Everyone
Introductory Statistical Inference
☆144Updated 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
- Code for a workshop on statistical interference using computational methods in Python.☆224Updated 4 years ago
- Code for a tutorial on Bayesian Statistics by Allen Downey.☆351Updated 4 years ago
- Pandas tutorial for SciPy2015 and SciPy2016 conference☆142Updated 8 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆128Updated 8 years ago
- PyData, The Complete Works of☆299Updated 8 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆166Updated 4 years ago
- Supporting code for a video series on best practices for exploratory data analysis.☆73Updated 9 years ago
- Programming Exercises☆77Updated 9 years ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆150Updated 4 years ago
- Code material for a data science tutorial☆198Updated 7 years ago
- A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.☆77Updated 6 years ago
- Course materials for "Get Started with NLP in Python"☆62Updated 6 years ago
- Supplementary material for my book, Probably Overthinking It.☆152Updated 5 months ago
- Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017☆32Updated 7 years ago
- ☆317Updated 4 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8☆116Updated 3 years ago
- ☆86Updated 6 years ago
- Jupyter Notebooks derived from Allen Downey's book Think Bayes.☆395Updated 9 years ago
- Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics☆541Updated 2 years ago
- Reproducible Data Analysis Workflow in Jupyter☆118Updated 6 years ago
- 📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…☆108Updated 4 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆379Updated 9 years ago
- An introduction to implementing a number of scikit-learn classifiers, along with some data exploration☆102Updated 9 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- ☆80Updated 8 years ago
- ☆48Updated 6 years ago
- Doing Bayesian statistics in Python!☆67Updated 7 years ago
- Materials for the pandas tutorial at PyData Chicago 2016☆54Updated 4 years ago
- General Assembly's Data Science course in Washington, DC☆233Updated 10 months ago
- Materials for my pandas tutorial at PyData 2014, NYC☆111Updated 9 years ago