Application of Machine Learning in Stock Market Forecasting: A Case
  Study of Disney Stock
Dengxin Huang
This document presents a stock market analysis conducted on a dataset
consisting of 750 instances and 16 attributes donated in 2014-10-23. The
analysis includes an exploratory data analysis (EDA) section, feature
engineering, data preparation, model selection, and insights from the analysis.
The Fama French 3-factor model is also utilized in the analysis. The results of
the analysis are presented, with linear regression being the best-performing
model.