leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
☆324Updated 2 years ago
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 3 years ago
- Code material for a data science tutorial☆199Updated 7 years ago
- General Assembly's Data Science course in Washington, DC☆185Updated 2 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- Machine Learning with Text in scikit-learn☆444Updated 3 years ago
- Scikit-learn tutorial at SciPy2016☆516Updated 6 years ago
- Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)☆179Updated 7 years ago
- iPython NOtebooks on Stats☆165Updated 8 months ago
- Code from Jason Brownlee's course on mastering machine learning☆124Updated 8 years ago
- Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms…☆432Updated 3 years ago
- A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.☆310Updated 4 years ago
- Translating R Data Analyses to Python☆281Updated 7 years ago
- ☆213Updated 3 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆275Updated 8 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆379Updated 9 years ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆150Updated 4 years ago
- A curated list of data science blogs☆44Updated 5 years ago
- An awesome Data Science repository to learn and apply for real world problems.☆59Updated 8 years ago
- useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html☆401Updated 7 years ago
- A step-by-step guide to get started with Applied Machine Learning☆139Updated 6 years ago
- Machine Learning Tutorials in Python☆193Updated 4 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆310Updated 3 years ago
- Python coded examples and documentation of machine learning algorithms.☆612Updated 4 years ago
- Course materials for teaching data visualization in Python.☆171Updated 9 years ago
- Lab for Linear and Logistic Regression, SciKit Learn☆41Updated 6 years ago
- Introduction to Statistics using Python☆905Updated 4 years ago
- Official content for the Fall 2014 Harvard CS109 Data Science course☆318Updated 8 years ago
- Codes related to various ML Hackathons☆213Updated 5 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆238Updated 10 months ago
- Using pandas for Better (and Worse) Data Science☆322Updated 5 years ago