This repository contains my solutions of the assignments for the Natural Language Processing (NLP) course offered at Innopolis University. The course is part of the Data Science track and covers a wide range of topics in NLP, including lexical and semantic analysis, word embeddings, and transformer-based language modeling.
Maintained by:
Name: Leila Khaertdinova | Email: l.khaertdinova@innopolis.university | Group: BS21 DS-02
Each assignment is organized into a separate folder and contains the necessary notebooks with code, data, and instructions to complete the task. Inside each assignment folder, you will find a detailed README file with instructions on how to proceed, a requirements.txt file with neccessary dependencies to be installed as well as any additional resources or references that might be helpful.
To get started, it is recommended to have a compatible version of Python 3.9.13 installed on your system. You will also need to install the required libraries and dependencies, which can be found in the requirements.txt file in each assignment folder.