authors
Ranjith K, Rajesh K, Suraj ES and Nitha KP

abstract
Prediction of stock prices with machine learning approach is one of the attractive matter for researchers over the period. Statistical methods which are highly traditional are no longer viable for appropriate analysis of huge amount of data. With the help of machine learning approach, it is able to expose hidden patterns and forecast future trends and behaviour in stock market. In this paper, supervised machine learning algorithms, are proposed for classification of Indian stock market data. This study mainly focused on the machine learning approach for revising and refining the existing equity valuation models to bring more prediction accuracy. These results from the models will help the investor to make decision on selling, purchasing or holding the stocks in Indian stock market.