PYTHON CODE

I want a sample solution for any data available.

Preprocess data. Using any.csv(any data) data, divide the data into train/test sets with 80% for training and the random_state=1234. Preprocess the text using tf-idf transformations. Feel free to do any other preprocessing you like.

Apply at least 5 algorithms to the data. We have or will discuss: Nave Bayes, logistic regression, random forest, SVM inear, SVM radial, neural networks, Keras, or other algorithm.