In this video, we build an Apple Stock Prediction script in 40 lines of Python using the scikit-learn library and plot the graph using the matplotlib library.

The challenge for this video is here:
https://github.com/llSourcell/predicting_stock_prices

Victor's winning recommender code:
https://github.com/ciurana2016/recommender_system_py

Kevin's runner-up code:
https://github.com/Krewn/learner/blob/master/FieldPredictor.py#L62

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

Stock prediction with Tensorflow:
https://nicholastsmith.wordpress.com/2016/04/20/stock-market-prediction-using-multi-layer-perceptrons-with-tensorflow/

Another great stock prediction tutorial:
http://eugenezhulenev.com/blog/2014/11/14/stock-price-prediction-with-big-data-and-machine-learning/

This guy made 500K doing ML stuff with stocks:
http://jspauld.com/post/35126549635/how-i-made-500k-with-machine-learning-and-hft

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Check out this youtube channel for some more cool Python tutorials:
https://www.youtube.com/watch?v=RZF17FfRIIo
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