cs109 / a-2017
Public Repository for cs109a, 2017 edition
☆323Updated last year
Related projects: ⓘ
- Harvard CS109b Public Repository☆233Updated 3 years ago
- ☆211Updated 3 years ago
- ☆339Updated this week
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆283Updated 6 years ago
- Code material for a data science tutorial☆194Updated 7 years ago
- General Assembly's Data Science course in Washington, DC☆185Updated 2 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆163Updated 5 years ago
- Projects for my Udacity Data Analyst Nanodegree☆99Updated 3 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆318Updated last year
- Official Public site for CS109a Fall 2018☆34Updated 6 years ago
- A collection of notebook to learn the Applied Predictive Modeling using Python.☆267Updated 7 years ago
- ☆143Updated this week
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆246Updated 5 years ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 5 years ago
- Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for…☆258Updated 7 years ago
- Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)☆174Updated 7 years ago
- Notebook to download machine learning flashcards☆450Updated 4 years ago
- Machine Learning with Text in scikit-learn☆441Updated 3 years ago
- Code for a workshop on statistical interference using computational methods in Python.☆219Updated 3 years ago
- iPython NOtebooks on Stats☆160Updated last month
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆151Updated 3 years ago
- ☆106Updated 3 years ago
- Official content for the Fall 2014 Harvard CS109 Data Science course☆318Updated 7 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆262Updated 4 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆377Updated 9 years ago
- Repository for CS109A Fall 2018☆147Updated 4 years ago
- Materials for the "Introduction to Machine Learning" class☆228Updated 5 years ago
- Using Project Jupyter for data science.☆258Updated 3 years ago
- A step-by-step guide to get started with Applied Machine Learning☆136Updated 5 years ago
- A curated list of data science blogs☆44Updated 4 years ago