Premier League Ranking Prediction and Disease Symptom Diagnosis

Conducted exploratory data analysis and statistical hypothesis testing, including t-tests and ANOVA, to identify predictive features in structured and unstructured datasets.

Built regression, multi-label classification, and ensemble models including XGBoost, SVM, Naive Bayes, KNN, and K-means from scratch in Python with object-oriented design. Hyperparameter tuning through grid search and cross-validation improved generalization and outperformed Scikit-learn defaults by 3-5% in accuracy.