thedataincubator / ds30Links
Data Science in 30 Minutes
☆84Updated 9 years ago
Alternatives and similar repositories for ds30
Users that are interested in ds30 are comparing it to the libraries listed below
Sorting:
- Official content for the Fall 2014 Harvard CS109 Data Science course☆318Updated 8 years ago
- Walkthrough exercises from PandasTutorial by Wes McKinney.☆150Updated 4 years ago
- General Assembly repo for Data Science 18☆36Updated 10 years ago
- PyData, The Complete Works of☆298Updated 8 years ago
- Scikit-Learn Tutorial for PyData Seattle 2015☆136Updated 10 years ago
- General Assembly's Data Science course in Washington, DC☆234Updated last year
- This repository contains materials for demos, tutorials, and talks by Dato Inc.☆172Updated 9 years ago
- A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.☆313Updated 4 years ago
- For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8☆116Updated 3 years ago
- Data Science in 30 Minutes #5: Spark☆19Updated 8 years ago
- Code for CS570, Essentials of Data Science☆109Updated 8 years ago
- Materials for my pandas tutorial at PyData 2014, NYC☆111Updated 10 years ago
- Public repository for course materials for the Data Science at Scale Specialization at Coursera☆924Updated 3 years ago
- Pandas tutorial for SciPy2015 and SciPy2016 conference☆142Updated 8 years ago
- General Assembly's Data Science course in Washington, DC☆185Updated 3 years ago
- Repository containing files for my PyCon 2014 scikit-learn tutorial.☆59Updated 11 years ago
- Tutorial: Machine Learning with Text in scikit-learn☆74Updated 8 years ago
- Pydata Dallas 2015 Scikit-Learn Tutorial☆62Updated 10 years ago
- Website and material for the FIXME course on Practical Machine Learning☆88Updated 7 years ago
- Data directory for the CS109 Data Science course☆67Updated 10 years ago
- Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).☆235Updated 2 years ago
- The Code belonging to my course "Data Analysis in Python and pandas"☆68Updated 10 years ago
- Feature Engineering with Pipeline Talk at ODSC West 2016, Santa Clara☆17Updated 8 years ago
- Lessons learned the hard way through over 30+ data science interviews☆227Updated 4 years ago
- Scikit-learn tutorials for the Scipy 2013 conference☆324Updated 8 years ago
- My notes and superstitions about common machine learning algorithms☆367Updated 8 years ago
- Materials for the "Advanced Scikit-learn" class in the afternoon☆165Updated 6 years ago
- ☆160Updated 8 years ago
- Translating R Data Analyses to Python☆279Updated 7 years ago
- Deep Learning for Pugs☆74Updated 8 years ago