Course materials for 7/22/17 - 7/25/17
Instructors: Sinan Ozdemir
- Install the Anaconda distribution of Python 2.7x.
- Setup a conda virtual environment
- Install Git and create a GitHub account.
The hardest thing to do now is to stay sharp! I have a few recommendations on next steps in order to make sure that you don't forget what we learned here!
- Read [my book] (https://www.amazon.com/Principles-Data-Science-Sinan-Ozdemir-ebook/dp/B01A8T8YNC) ;)
- Always stay up to date on Kaggle
- Try working with some other people in this class!
- Our Slack channel will stay around if you still want to post cool blogs, videos, etc!
- Try implementing some of the models we learned in class on your own!
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Great book [Data Science From Scratch] (http://file.allitebooks.com/20150707/Data%20Science%20from%20Scratch-%20First%20Principles%20with%20Python.pdf) with code
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Text classification with Naive Bayes from Scratch [here] (https://web.stanford.edu/class/cs124/lec/naivebayes.pdf)
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PCA by hand here
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- Take a look at the Resources for each class to get a deeper understanding of what we've learned. Trust me there are a lot
- Follow data scientists on Twitter. This will help you stay up on the latest news/models/applications/tools. (I'm @Prof_OZ)
- Read blogs to keep learning. I really like District Data Labs and Data Elixer.
Thank you all for such a wonderful time and I truly hope to stay in touch.