This was a kaggle competition organized by Jigsaw. The challenge was to build a model that recognizes toxicity in comments and minimizes bias towards the names of frequently attecked identities with toxicity. A labeled dataset was provided for identity mentions. The competition was Kernels-only
and here I am showcasing my approach for data processing and designing a model to solve the challenge.
- Numpy
- Pandas
- Seaborn
- NLTK
- Tensorflow
My Local environemnt packages are available in the requirements.txt
file.
To install the same packages, run the command:
pip install -r requirements.txt
Name: Sifat Ul Alam
Email: [email protected]
LinkedIn || GitHub || Kaggle
This repository was submitted as a project for Upskill's ISA IM Workshop.