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.

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.