• Uday Joshi
• Prof. Rashmi Tundalwar
• Dr Aarti Dandavate

Investment corporations, hedge funds, and even individual investors must study financial models to understand market behavior and build profitable investments and trades. Investors usually produce educated guesses by analyzing information about old stock prices, the company’s performance behavior, etc. The initial phase of revealing theories in the guesswork indicates that stock unit prices are entirely random and unpredictable. In the betterment of the guesswork, quantitative analysts get deployed to make prophetic models. The paper focuses on using machine learning techniques to develop better models for enabling appropriate recommendations for financial investments.

Stock Price Prediction, Machine Learning, Random Forest Regression

"Machine-learning-based prediction of stock market prices", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 6, page no.i598-i603, June-2023, Available :http://www.jetir.org/papers/JETIR2306863.pdf

"Machine-learning-based prediction of stock market prices", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 6, page no. ppi598-i603, June-2023, Available at : http://www.jetir.org/papers/JETIR2306863.pdf