This repository contains all the data analytics projects that I've worked on in python.

The goal is to build a machine learning model that can predict the likelihood of an individual developing cervical cancer based on various factors.

CarcinoHPVPred - a standalone tool for carcinogenic HPV variant prediction

Convolutional Neural Network And Multimodal Learning with Graphic User Interface for Digital Pathology

This is a list of personal projects

Machine Learning Project using R

This repository contains a machine learning project that classifies patients at risk of cervical cancer using the XGBoost algorithm. The project includes data preprocessing, feature selection, model training, and evaluation to achieve high accuracy in identifying at-risk patients.