To develop and implement machine learning algorithms for predicting stock prices based on educational data.
To evaluate the performance of the predictive models in terms of accuracy, precision, and recall.
To analyze the impact of using educational data in predicting stock prices compared to traditional financial data.
Collect and preprocess historical stock price data along with relevant educational data.
Implement machine learning algorithms such as regression, random forests, and deep learning models to predict stock prices.
Evaluate the performance of the models using appropriate metrics and compare the results with baseline models.
Conduct statistical analysis to assess the significance of using educational data in predicting stock prices.
Write a research report documenting the methodology, results, and conclusions of the project.
