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

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

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

This project focuses on building predictive models that analyze medical and risk-factor data to detect cervical cancer at an early stage.

This project implements a machine learning and neural network pipeline to predict the risk factors associated with cervical cancer using data preprocessing, feature selection, and various classification algorithms.

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.

Machine Learning Project using R

Cervical cancer screening live project

📊 Analyze data with projects featuring Excel, statistical methods, MySQL, and visualization techniques to drive insights and effective storytelling.

SQL and Power BI analysis of cervical cancer risk factors

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