/Linear-Regression

5th-semester VAC project as of October 2021

Primary LanguageJupyter Notebook

Linear Regression

Project Description:

The Stock Market has always been a prime target for predictive analysis. With each passing day, fortunes rise and fall according to the price of each stock. Here, I wanted to determine if there was a relation between the closing price - the most recent valuation of a security until the next working day - and that day's opening price - the price at which a security first trades upon the opening of an exchange on a trading day.

Contents:

  • Importing Libraries
  • Creating a pandas dataframe from the imported .csv file
  • Visualizing the parameters of interest
  • Applying Linear Regression