Write 2 separate python code to create machine learning model using Naive Bayes \& KNN for "indian_food.csv" dataset. Can choose "diet" "courses" or "flavor" or any relevant type. Then need: 1. compare and discuss the data sets split(eg: train \& test, number of rows, and etc) 2. Compare and discuss their results(Accuracy) 3. Which algorithm can chosen as champion model for this application? Give justification *Need Python code for NB \& KNN with answering 2\&3. Expect a responsible Expert answer this properly