Stock Market Analyzer

February 21, 2017
Analyzed GOOGL stock closing price data set by applying various regression models and comparing them on the basis of error calculations.
The data set of GOOGL's closing price is taken and is trained under Linear Regression, Decision Forest and Boosted Decision Tree regression models. The scored values are taken and a graph is plotted between the original and the scored values using Microsoft Excel. Various errors are calculated and the conclusion is drawn for the performance of the three regression models.