cs109 / 2018-cs109b
Harvard CS109b Public Repository
☆234Updated 4 years ago
Alternatives and similar repositories for 2018-cs109b:
Users that are interested in 2018-cs109b are comparing it to the libraries listed below
- Public Repository for cs109a, 2017 edition☆326Updated last year
- ☆213Updated 3 years ago
- Official Public site for CS109a Fall 2018☆34Updated 6 years ago
- Notebook to download machine learning flashcards☆456Updated 4 years ago
- Code material for a data science tutorial☆199Updated 7 years ago
- Repository for CS109A Fall 2018☆147Updated 4 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog☆324Updated 2 years ago
- Assets for data8.org☆111Updated 6 months ago
- COMS W4995 Applied Machine Learning - Spring 18☆158Updated 5 years ago
- Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller☆248Updated 6 years ago
- Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller☆285Updated 7 years ago
- Compendium of tips to help you apply to machine learning and data science jobs.☆52Updated 5 years ago
- A curated list of data science blogs☆44Updated 5 years ago
- A constantly updated python machine learning cheatsheet☆166Updated 7 years ago
- Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).☆379Updated 9 years ago
- Materials for GWU DNSC 6279 and DNSC 6290.☆238Updated 10 months ago
- Projects for my Udacity Data Analyst Nanodegree☆101Updated 4 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
- Basics of programming: algorithms, data structures, object oriented programming☆93Updated 6 years ago
- Machine learning with scikit-learn tutorial at PyData Chicago 2016☆129Updated 8 years ago
- Official content for the Fall 2014 Harvard CS109 Data Science course☆318Updated 8 years ago
- Introduction to Machine learning with Python, 4h interactive workshop☆310Updated 5 years ago
- Deep Learning Study Group☆321Updated 4 years ago
- Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph☆266Updated 4 years ago
- PyCon 2017 tutorial on time series analysis☆72Updated 7 years ago
- ☆102Updated 6 years ago
- Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book☆310Updated 3 years ago
- Notes from Introduction to Statistical Learning☆116Updated 7 years ago
- Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program☆273Updated 6 years ago