leonvanbokhorst / NoteBooks-Statistics-and-MachineLearningLinks
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
☆331Updated 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
Sorting:
- Code material for a data science tutorial☆197Updated 8 years ago
- iPython NOtebooks on Stats☆169Updated last year
- Machine Learning with Text in scikit-learn☆448Updated 4 years ago
- Collection of great (and free) machine learning books☆118Updated 3 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆287Updated 8 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆284Updated 9 years ago
- General Assembly's Data Science course in Washington, DC☆185Updated 3 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆377Updated 10 years ago
- Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)☆182Updated 8 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆166Updated 7 years ago
- Code from Jason Brownlee's course on mastering machine learning☆126Updated 9 years ago
- ☆214Updated 4 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆313Updated 4 years ago
- A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.☆318Updated 5 years ago
- Materials for the "Introduction to Machine Learning" class☆227Updated 7 years ago
- Public Repository for cs109a, 2017 edition☆328Updated 2 years ago
- Ways of doing Data Science Engineering and Machine Learning in R and Python☆620Updated 4 years ago
- Full Stack Data Science in Python☆257Updated 7 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆226Updated 4 years ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆150Updated 5 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆271Updated 5 years ago
- An awesome Data Science repository to learn and apply for real world problems.☆61Updated 9 years ago
- a curated list of R tutorials for Data Science, NLP and Machine Learning☆23Updated 9 years ago
- Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"☆237Updated 3 years ago
- Python coded examples and documentation of machine learning algorithms.☆610Updated 5 years ago
- Material for the pandas tutorial at EuroScipy 2016☆210Updated 8 years ago
- Scikit-learn tutorials for the Scipy 2013 conference☆324Updated 8 years ago
- Translating R Data Analyses to Python☆281Updated 7 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 7 years ago
- A step-by-step guide to get started with Applied Machine Learning☆142Updated 7 years ago