https://drive.google.com/file/d/16fD2AwPmfpfZ8jnkwAEVBrxxON94tobI/view?usp=sharing

Fish Market data sheet - Machine Learning

Model Building 1. Split the dataset into training and test sets. answer with justification Case 1: Train = 80 % Test = 20% [ x_train1, y_train1] = 80%; [ x_test1, y_test1] = 20%; Case 2: Train = 10 % Test = 90% [ x_train2, y_train2] = 10%; [ x_test2, y_test2] = 90% 2. Explore k-fold cross-validation. 3. Build Model/s using 1) Linear Regression, 2) MLE, 3) Any other appropriate model 4. Explore the need for regularization and incorporate a few relevant techniques for the problem statement. 5. Compare models with and without regularization in a tabular format and justify the findings.