https://github.com/zafarali/explore-intelligence

Repository for all code and notes used to learn data analysis, visualisation, machine learning, artificial intelligence and probability and statistics
https://github.com/zafarali/explore-intelligence

Last synced: about 1 year ago
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Repository for all code and notes used to learn data analysis, visualisation, machine learning, artificial intelligence and probability and statistics

• Host: GitHub
• URL: https://github.com/zafarali/explore-intelligence
• Owner: zafarali
• Created: 2015-02-19T04:30:56.000Z (over 11 years ago)
• Default Branch: master
• Last Pushed: 2017-04-16T20:59:10.000Z (about 9 years ago)
• Last Synced: 2025-03-24T11:56:55.182Z (over 1 year ago)
• Language: Jupyter Notebook
• Size: 17.8 MB
• Stars: 6
• Watchers: 3
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Explore Intelligence

*Repository for all code and notes used to learn data analysis, visualisation, machine learning, artificial intelligence and probability and statistics*

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Recently I've been quite enchanted by the world of data driven decision making and due to this I have now made a concious effort to learn as much as I can about it. My major Quantitative Biology gives me the mathematical and comptuational tools to do this and I should be able to apply it to many different problems. Below are the resources I am using to complete my journey.

### Resources

- [ ] [CS188.1x Artificial Intelligence offered by BerkleyX](https://www.edx.org/course/artificial-intelligence-uc-berkeleyx-cs188-1x-0#.VPOxFFPF_l8)

- [ ] [Think Stats by Allen B. Downey](http://greenteapress.com/thinkstats/)

- [ ] [Doing Data Science by Rachel Schutt and Cathy O’Neil](http://columbiadatascience.com/doing-data-science/)

- [ ] [15.071x The Analytics Edge offered by MITX](https://www.edx.org/course/analytics-edge-mitx-15-071x-0#.VPOx81PF_l8)

- [ ] [Explore Data Science by Booz Allen Hamilton Inc](https://exploredatascience.com/)

- [ ] [Quantitative Economics by Thomas J. Sargent and John Stachursi](http://quant-econ.net/)

- [ ] [Select courses from datacamp.com](https://www.datacamp.com/)

- [ ] [Competitive Data Science at kaggle.com](http://www.kaggle.com/)

- [ ] [Intro to D3.js by Square](http://square.github.io/intro-to-d3/)