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Welcome to the 1st Episode of Learn Python for Data Science! This series will teach you Python and Data Science at the same time! In this video we install Python and our text editor (Sublime Text), then build a gender classifier using the sci-kit learn library in just about 10 lines of code.

Please subscribe & share this video if you liked it!

The code for this video is here:
https://github.com/llSourcell/gender_classification_challenge

I created a Slack channel for us, sign up here:
https://wizards.herokuapp.com/

Download Python here:
https://www.python.org/downloads/

Download Sublime Text here:
https://www.sublimetext.com/3

Some Great simple sci-kit learn examples here:
https://github.com/chribsen/simple-machine-learning-examples

and the official scikit website:
http://scikit-learn.org/

Highly recommend this online book as supplementary reading material:
https://learnpythonthehardway.org/book/

Wondering when to use which model? This chart helps, but keep in mind deep neural nets outperform pretty much any model given enough data and computing power. so use these when you don’t have access to loads of data and compute:
http://scikit-learn.org/stable/tutorial/machine_learning_map/

Thank you guys for watching! Subscribe, like, and comment! That’s what keeps me going. Feel free to support me on Patreon:

https://www.patreon.com/user?u=3191693