This repo contains exercises for "Document classification" course on department of Applied Math SPbU.
- Exercise 1 is for basic knowledge of python.
- Exercise 2 is dedicated to numpy operations.
- Exercise 3 is meant for data visualization and preprocessing.
- Exercise 4 in this task, we are asked to download full database of "what? where? when?" (что? где? когда?). The downloaded database can be found here
- Exercise 5 is prediction of news categories from news site fontanka. There we have to not only train model, but also create web view for this model. You can check it out in
code/Fountain categories web view. - Exercise 6 in this task, we were asked to create web view for search with backend on Elasticsearch.