To develop a predictive model using AI and machine learning algorithms to forecast stock prices based on educational data.
To analyze the potential impact of educational data on stock price movements and build a reliable forecasting system.
To evaluate the performance of the predictive model and compare it with traditional forecasting techniques in the stock market.
Collect and preprocess educational data related to stock market movements.
Implement AI and machine learning algorithms for predictive analytics on the collected data.
Evaluate the performance of the developed model using suitable metrics and statistical tests.
Compare the results with existing forecasting techniques and analyze the impact of educational data on stock price forecasting accuracy.
Present the findings in a research report highlighting the effectiveness of the proposed predictive analytics approach.
