Decision Tree classification on the Titanic dataset with evaluation using a Confusion Matrix and ROC Curve. Achieved 78.1% accuracy and an AUC of 0.8147, highlighting sex, age, and passenger class as key survival predictors.

Complete K-Nearest Neighbors (KNN) Classification on Iris Dataset. Includes full pipeline from data cleaning, EDA, feature scaling, model evaluation, and visual proofs of learning.