leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
☆322Updated last year
Alternatives and similar repositories for NoteBooks-Statistics-and-MachineLearning:
Users that are interested in NoteBooks-Statistics-and-MachineLearning are comparing it to the libraries listed below
- Collection of great (and free) machine learning books☆117Updated 2 years ago
- iPython NOtebooks on Stats☆163Updated 7 months ago
- Code material for a data science tutorial☆197Updated 7 years ago
- Machine Learning with Text in scikit-learn☆443Updated 3 years ago
- Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)☆177Updated 7 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆272Updated 8 years ago
- General Assembly's Data Science course in Washington, DC☆184Updated 2 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆378Updated 9 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- ☆108Updated 3 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆266Updated 4 years ago
- Code from Jason Brownlee's course on mastering machine learning☆124Updated 8 years ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆149Updated 4 years ago
- Homework/Classwork for my DSE 200 Python for Data Analysis Class at UC San Diego (UCSD)☆100Updated 8 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆222Updated 4 years ago
- Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics☆539Updated 2 years ago
- A step-by-step guide to get started with Applied Machine Learning☆139Updated 6 years ago
- Materials for the "Introduction to Machine Learning" class☆228Updated 6 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆236Updated 9 months ago
- Introduction to Statistics using Python☆905Updated 4 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- Introduction to Statistical Modeling with Python (PyCon 2017)☆166Updated 4 years ago
- Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"☆762Updated 2 years ago
- General Assembly's Data Science course in Washington, DC☆799Updated 4 years ago
- Translating R Data Analyses to Python☆281Updated 6 years ago
- Official content for the Fall 2014 Harvard CS109 Data Science course☆317Updated 8 years ago
- Public Repository for cs109a, 2017 edition☆325Updated last year
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆309Updated 3 years ago
- Interview stuff for friends☆84Updated 2 years ago