Machine Learning, Data Science, Programming, Python, Deep Learning.
cost function associated with linear regression is called the mean squared errors and can be represented as below: Mean square error (Image by Author) Error: Difference between actual and predicted. (Image by Author) Suppose the actual weight and predicted weights are as follows: Actual vs