This project is a task for the GRIP Data Science Internship at the Sparks Foundation
Task 7: Stock Market Prediction using Numerical and Textual Analysis ● Objective: Create a hybrid model for stock price/performance prediction using numerical analysis of historical stock prices, and sentimental analysis of news headlines ● Stock to analyze and predict - SENSEX (S&P BSE SENSEX) ● Download historical stock prices from finance.yahoo.com ● Download textual (news) data from https://bit.ly/36fFPI6 ● Use either R or Python, or both for separate analysis and then combine the findings to create a hybrid model ● You are free to select a different stock to analyze and news dataset as well while not changing the objective of the task.