University Admission Prediction Using Multiple Linear Regression

In this hands-on guided project, you will delve into the training of regression models to predict the probability of a student being accepted into a specific university based on their profile. Through practical applications, you will explore the potential of using web applications to determine individual student acceptance rates.

• Train Artificial Neural Network models for regression tasks
• Perform exploratory data analysis
• Understand and apply regression models in Scikit Learn
• Examine various regression model KPIs such as MSE, RMSE, MAE, R2, and adjusted R2