Titanic Survival Prediction Model
Developed a machine learning classification model predicting passenger survival with 82% accuracy. Performed exploratory data analysis, handled missing values, engineered features, tuned logistic regression hyperparameters, evaluated precision, recall, and F1-score, and deployed an interactive prediction interface with feature-importance visualizations.
Student Performance Analysis System
Analyzed 1000+ student records using exploratory data analysis, correlation analysis, hypothesis testing, and distribution analysis. Created 15+ visualizations and identified significant relationships among parental education, study time, and exam scores at a 95% confidence level.
Real-Time Weather Forecast Application
Built a responsive JavaScript, HTML, and CSS application using the OpenWeather API to retrieve weather data for 200+ global cities. Implemented asynchronous data retrieval, dynamic weather-based rendering, CSS animations, and geolocation services.