Python for Machine Learning - The Complete Beginners Course - Implementation in Python: Creating a Linear Regression Obj

The video tutorial explains how to create and train a linear regression model using the Sklearn library. It covers the process of fitting the model with data, making predictions, and understanding the coefficients and intercepts. The tutorial also demonstrates how to manually calculate the price of a house using the model's coefficients. Finally, it introduces the concept of multiple linear regression as the next topic.

What is the predicted price for a house with a surface area of 3300 square feet?

How can you calculate the price of a house using the coefficients and intercept?