bias and variance + cross validation

Bias and variance Reference : https://www.youtube.com/watch?v=EuBBz3bI-aA split the data into test and train ml algo = linear regression - fits a straight line to the training set - this will never capture the true relationship between the variables in the dataset the inability of an ml algo to capture the true relationship of a dataset is called BIAS here the straight line can't be curved = it…