Skip to content

Latest commit

 

History

History
17 lines (13 loc) · 654 Bytes

README.md

File metadata and controls

17 lines (13 loc) · 654 Bytes
Raw

Natural Language Process Tutorial

This project involves gender classification based on Twitter user data. It includes data cleaning, feature extraction using text data, and classification using machine learning algorithms.

Dataset

The dataset used in this project is the "gender-classifier-DFE-791531.csv" file, which contains information about Twitter users.

Dependencies

  • pandas
  • numpy
  • matplotlib
  • scikit-learn
  • nltk

Instructions

  1. Clone the repository: git clone https://github.com/aakcay5656/Natural-Language-Process-Tutorial.git
  2. Install dependencies: pip install -r requirements.txt (if you have a requirements file)