AI-Task-Aventus-Informatics

The task involves building a simple Linear Regression model using Python to analyze the relationship between hours studied and student scores. The dataset is first loaded and explored, after which a regression model is trained to predict a student’s score based on the number of hours studied. Using the trained model, the score for a student who studies 9 hours is predicted. Finally, the dataset and the fitted regression line are visualized using a plot to demonstrate the model’s performance. Here I used a dataset from Kaggle with same coloumn names.