Final thoughts

Machine Learning for Finance in Python

Nathan George

Data Science Professor

Toy examples

Tools for bigger data:

  • Python 3 multiprocessing
  • Dask
  • Spark
  • AWS or other cloud solutions
Machine Learning for Finance in Python

Get more and better data

Data in this course:

  • From Quandl.com/EOD (free subset available)

Alternative and other data:

  • satellite images
  • sentiment analysis (e.g. PsychSignal)
  • analyst predictions
  • fundamentals data
Machine Learning for Finance in Python

Be careful, and Godspeed!

Machine Learning for Finance in Python

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