• Tejas Maloji Jamdar
• Sanket Shantaram Gajare
• Shraddha Rangnath Garje
• Arati Pandharinath Lokhande
• Prof. Priyanka Kumbhar

The familiar problem of interest is predicting stock market analysis. Stock market is the integral part of country's economy. The aim of the stock market prediction is to predict the future financial stocks of the company. Sentimental analysis and technical analysis are the two approach used in predicting the stock price. Social media plays the role of representing the public sentiments about a current event. The approach through sentimental analysis helps in observing how well the changes occur in stock prices. The rise and fall of the stock prices is correlated with the opinion of people expressed on Twitter. With the help of technical analysis the stock price movement acts as a function of input feature. It helps on solving the regression problem in multiple kernel learning regression framework. The machine leaning is coupled with fundamental analysis. It evaluates the models for taking the buy-sell decision. The paper focuses on the use of Regression ,LSTM and naive bay's algorithm to predict stock values.

Stock Prediction, Sentimental analysis.

"Stock Market Prediction using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.i810-i813, May-2023, Available :http://www.jetir.org/papers/JETIR2305930.pdf

"Stock Market Prediction using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppi810-i813, May-2023, Available at : http://www.jetir.org/papers/JETIR2305930.pdf