Data Analytics performed on On genomes and Genetics dataset to predict genetic disorder and disorder subclass based on familial history and its effects.

This repository contains the visualisation, models and the source code as a part of the Final Project for the Data Analytics Course (UE19CS312) at PES University.

To run the code, make sure to include the test and train csv from this repository files in the same folder. The project can then be run cell by cell in order or by clicking the run all option by running the of Genomes and Genetics.ipynb file on google collab, jupyter notebook or any suitable platform.

Link to dataset - https://www.kaggle.com/aryarishabh/of-genomes-and-genetics-hackerearth-ml-challenge

Link to the video - https://drive.google.com/file/d/1s6c2P6uMhr8yOOZ62fS2h5Wx0dGasc9p/view

Link to Literature Review - https://docs.google.com/spreadsheets/d/1DTcgkpp5rwnEthVUWici8GRrRHsi9wIVA5XTYxLsYyQ/edit?usp=sharing

B Pravena - PES2UG19CS076

Lavanya Yavagal - PES2UG19CS904

Swarnamalya A S - PES2UG19CS418

Varna Satyanarayana - PES2UG19CS448