Beginners: Use the Stock Market to Learn Python

Feb 25, 2016 · Mountain View, United States of America

This presentation introduces Python to Students. We learn a little about the topics listed below: - Plain Python - NumPy - Pandas - scikit-learn - matplot lib - Heroku We build a simple application which completes these tasks once a day: - Acquire Stock Market Prices - Create Features from Prices - Visualize Features - Train Logistic Regression Model [masked]) - Predict 2015 and 2016 - Visualize Accuracy and Effectiveness of Predictions - Serve the Visualizations from Heroku.com The software behind this application is served from github: https://github.com/danbikle/pyspy https://github.com/danbikle/herokuspy This presentation is served from www.syntax.us: http://www.syntax.us/posts/python_preso Feel free to bring your laptop to follow along with the coding. If you have questions, e-mail Dan: bikle101 at gmail

Bio: Dan Bikle is a Data Analysis Programmer

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