Multivariante linear regression implemented from scratch.
Generate 1000 linear samples that follow the following equation:
Y = 5X1 + 3X2 + 1.5X3 + 6
Hint: generate the X’s randomly.
Use built-in function to split the data to (Train & Test).
Implement Loss & gradient Decent functions.
Print the final weights & Accuracy.
Use the Housing Price dataset.