Part 3 done

made two csv files training and testing

binary encoded famhist used z score to normalize numeric features

then for the model added a bunch of stuff to stop overfitting leaky relu, L2, dropout, and early stopping

• more epochs

NOTE: Saved model achieved 76%+ on testing for the bonus mark

merging!

mentioned in commit 51ae5931

merged