1 publication

• Published Subscription 2 Sep 2023

  Stock Price Prediction Using Data Science Techniques

  By P. Kavipriya, Yerukala Chandrasekhar, Paluri Chandrasekhar Pavan

  Abstract: This study centers around persuasively presenting the potential to forecast the stability of future market stocks. Previous research has delved into predicting the trajectory of future market trends, leading to fluctuations in stock data, which opens avenues for refinement. The proposed model employs data science methodologies to predict the stock price index's value. This is achieved by contrasting supervised classification data science learning algorithms that predict either stock price increases …

  Published in E-Commerce for Future & Trends · Vol. 10, Issue 2, 2023 · pp. 33–41 Read article →