• Poonam Kolekar
• Sarika Kamble
• Prachi Shinde
• Pratibha Umale
• S.S.Bhosale, C. G. Patil

In stock market price forecasting, the goal is to predict the future value of financial stocks in company. The latest trend in stock market prediction technology is the use of machine learning. Which predicts by training them based on the values of current stock market indices previous values. These previous values will only be collected by yahoo finance. Machine Learning uses a variety of models to simplify and validate predictions. It is imperative to be safe predicting stock values predicting non-linear signals requires progressive mathematical rules Machine learning. In our research, going to use a machine learning algorithm with a special focus on Linear Regression (LR), Support vector machine (SVM), Decision Tree (DT) and Random Forest. MS Excel as the best statistical tool for graphs and tabular representation of prediction results.

Linear Regression (LR), Support Vectors Machine (SVM), Decision Tree (DT), Random Forest, Yahoo Finance.

"STOCK PRICE PREDICTION COMPARATIVE ANALYSIS BASED ON MACHINE LEARNING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 8, page no.532-534, August-2022, Available :http://www.jetir.org/papers/JETIRFP06095.pdf

"STOCK PRICE PREDICTION COMPARATIVE ANALYSIS BASED ON MACHINE LEARNING ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 8, page no. pp532-534, August-2022, Available at : http://www.jetir.org/papers/JETIRFP06095.pdf