Linear, Regression, Python, Summary.
prepare the dataset, create and train the model, make predictions, and evaluate the model’s performance. Best Practices and Further Exploration When working with linear regression in Python, it’s essential to preprocess the data, handle missing values, and perform feature scaling for better model