This project explores the classification of exoplanets based on features like radius, mass, and orbital characteristics using data from various NASA missions
This project built a convolutional neural network model to identify Capuchin bird calls in forest recordings using audio spectrograms, achieving 100% accuracy and enabling automated analysis of ecological data.
Explore my Breast Cancer Predictor project, a comprehensive Streamlit application that leverages various machine learning models to diagnose breast cancer from tissue sample measurements.