Практическая работа по предмету «Прикладное машинное обучение»(Applied Machine Learning)

Задание: Your goal is to solve a classification problem with a linear model, i.e. you're going to fit a model that is able to predict a newsgroup given some email text.

You are encouraged to use the template for quick start: https://github.com/lisitsyn/courses/blob/master/hse-aml/HSE-AML-HW-1.ipynb 

To complete the homework you might need to use some of sklearn snippets available in the slides. You’re welcome to use any library and even any programming language to complete your assignment.

To grade your homeworks I will use criteria

 • Is the code runnable?

 • Are there any descriptions and explanations?

 • Are results valid?

For the best score try different methods, go for other methods of textual classification or do any kind of additional research on the problem. Also, explain your choice of methods, hyperparameters and other procedures.