Tata Motors Equity Forecasting System using Machine Learning

Abstract

The TATA Motors stock prediction system is a machine learning tool that uses regression algorithms to analyze historical data on TATA Motors stock prices, market trends, economic indicators, and industry news. This system aims to help TATA Motors build a business model for the next few months by providing accurate predictions of future stock prices. By mitigating risks associated with investing in the stock market, TATA Motors can make better investment decisions and avoid losses. The system is designed to be user-friendly, with an intuitive interface that makes it easy for TATA Motors employees to input data and access predictions. Furthermore, the system can inform longer-term strategic planning and investment decisions. However, the accuracy of the predictions is reliant on the quality and relevance of the input data. Regular updating and refining of both the input data and the algorithms used to analyze, may be necessary to maintain the system's accuracy.