Utilizing linear regression for accurate forecasting, this Jupyter Notebook-based exploration encompasses theory, dataset analysis, and model implementation, offering a holistic journey from concept to conclusion.
This project is dedicated to the creation and exploration of a stock price prediction model using linear regression. The accompanying documentation and Jupyter Notebook cover fundamental concepts of linear regression, dataset exploration, correlation analysis, and the implementation of a model using the scikit-learn library. The entire process, from theory to conclusions, is encapsulated in this project.
Utilizing linear regression for accurate forecasting, this Jupyter Notebook-based exploration encompasses theory, dataset analysis, and model implementation, offering a holistic journey from concept to conclusion.