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PROJECT TITLE :

Prediction of Stock Prices using Machine Learning (Regression, Classification) Algorithms

ABSTRACT:

The stock market is a fascinating field to research. It comes in a variety of shapes and sizes. Many specialists have studied and researched the many patterns that the stock market experiences. The attempt to anticipate the stock values of various companies based on past data was one of the important research. Stock price predictions can tremendously assist people in determining where and how to invest in order to reduce the danger of losing money. Companies can also use this software to figure out what price to aim for and how many shares to issue during their first public offering (IPO). There have been considerable advancements in this subject thus far. Many scholars are investigating Machine Learning and Deep Learning as potential stock price predictors. Regression and classification are the two methods used by the suggested system. The system predicts the closing price of a company's stock in regression, and it predicts whether the closing price of a company's stock will increase or drop the next day in categorization.


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