19-Nov Notes
Zoom Virtual Data Science notes from Our Fortnightly Meeting
Today’s Zoom virtual meetup was very interesting. We discussed mostly applying Machine Learning in finance particularly in the stock market.
The next meetup will be on December 3, 2020 at 8pm EST.
Machine Learning in Finance
There are some great blogs out there on how to apply ML in the stock market.
Blog#1: Kyle Stahl
This blogpost applied a LSTM (Long Short Term Memory) network in Keras to predict what stocks to buy in the beginning of the day and what stocks to sell at the end.
An Illustrated Introduction to LSTM:
Blog#2: Thomas Rochefort
This blog merges data from multiple sources, uses a feature selection to determine which of the features are important, and a random forest to predict every month if a stock “will beat the SP500 or not.”
Also there is a Python library called talib. No it does not spit out some bars, but what it does is provide a technical analysis tool for the stock market. (It is actually spelled TA-Lib. )
Deep Learning with Keras
Deep Learning for Python by Francois Chollet
great resource to learn DL using Keras
There are two types of models in TF:
Sequential
Functional
Reinforcement Learning
We briefly discussed applying a Reinforcement Learning algorithm to improve network stability in IoT devices.
Future of Python
We also briefly discussed the future of Python. There are rumors that Python will introduce type variables which might be annoying but can reduce memory when running.