A comprehensive Exploratory Data Analysis (EDA) of the Iris dataset using Python, Pandas, Matplotlib, and Seaborn. Part of my Data Mining coursework.

Predictive Modeling Via Machine Learning

Predicting Titanic survival using machine learning models with age, sex, ticket class, and fare. Tested linear regression, logistic regression, and KNN with cross-validation and metrics like accuracy and recall. The best-performing model is available on GitHub with code, data, and results.

This project implements a spam detection system using a Naive Bayes classifier. It loads a dataset of SMS messages, preprocesses the data by converting labels to binary, and splits it into training and testing sets. The text data is vectorized using CountVectorizer. The model is trained on the training set and evaluated on the test set, with accura