This project utilizes the Linear Regression algorithm to predict stock prices, leveraging Python and key libraries like pandas, numpy, matplotlib, and scikit-learn (sklearn). Linear Regression is a ...

The model is developed using the Linear Regression algorithm from the scikit-learn library. Visualization tools such as Seaborn and Matplotlib are used to explore the data and evaluate model ...

Deviation from these requirements will only be allowed in exceptional cases, and with the approval of the Director of Graduate Studies. With a few exceptions, students in joint degree programs are ...

Explore regression as a supervised ... an understanding of the main algorithms and their uses. While the intermediate program is useful for anyone with computer skills and an interest in leveraging ...

Linear regression is one of the simplest ... Plus you can run a basic regression model without having to learn Python. For anyone working with small to medium-sized datasets, Google Sheets offers ...

Li, S. and Tan, Q. (2025) Bankruptcy Prediction in the Polish Banking Industry Using Principal Component Analysis and BP ...