Video is ready, Click Here to View ×


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:
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

Please share this video, like, comment and subscribe! That’s what keeps me going.

and please support me on Patreon!:
https://www.patreon.com/user?u=3191693

Check out this youtube channel for some more cool Python tutorials:

Video is ready, Click Here to View ×