The project focuses on building a classification model to predict the recurrence of thyroid disease in patients based on clinical and demographic features.
A machine learning-based web application that classifies emails or SMS messages as spam or not spam (ham) using Natural Language Processing (NLP) and the Naive Bayes algorithm.
This project forecasts malaria incidence trends in Nigeria using time series modeling (ARIMA) using relationships with Environemtal Factors.
The projects contain the work completed during the British Airways Virtual Experience Program, focusing on two main tasks: customer review analysis and predictive modeling of customer bookings.
The goal of the project was to predict the median house value based on various features such as average number of rooms, population density, and average income.
A machine learning project that predicts and analyzes student math scores based on various features using a trained model and provides an interactive visualization and web interface through Streamlit.
This project contains a comprehensive financial sales analysis dashboard created using Power BI. The dashboard provides insights into sales performance, financial metrics, and key business indicators.