NLP Class Repository

Welcome to the NLP Class Repository! This repository contains the code and materials for our Natural Language Processing class. To get started, follow the instructions below to set up the project environment and install the necessary dependencies using Poetry.

💡 Courses

• 🛁 Introduction to NLP, Preprocessing Pipeline & Text Cleaning
• 💾 Feature Extraction Methods, Text Classification Using SkLearn
• 🦹 Named Entity Recognition
• 📊 Word Embeddings
• 🧠 Sequence-to-sequence models and Deep Learning

Table of Contents

• NLP Class Repository
  • Table of Contents
  • Prerequisites
  • Installation

Prerequisites

Before you begin, ensure you have met the following requirements:

• Python 3.10 or higher installed on your system.

• Poetry installed. If you haven't installed Poetry yet, you can do so by following the instructions here or simply running:

  pip install poetry

Installation

1. Clone this repository to your local machine:

   git clone https://github.com/RPegoud/nlp_courses.git

2. Navigate to the project directory:

   cd nlp_courses

3. Use Poetry to create a virtual environment and install project dependencies (This command will create a virtual environment specifically for this project and install all the required dependencies defined in the pyproject.toml file).

   poetry install

4. Activate the virtual environment. You are now in the project's virtual environment, where you can run Python scripts and use the installed dependencies.:

   poetry shell

5. Restart VS Code and you should be able to select the nlp_course kernel