In this project were implemented and compared classification (Decision Tree Classifier, Random Forest Classifier, Linear Regression Classifier, Logistic Regression Classifier, k-Nearest Neighbours Classifier), clustering (K-Means Clustering, Hierarchical Agglomerative Clustering) and Apriori Frequent Pattern Mining (improved using sampling).
Adult Data Set: https://archive.ics.uci.edu/ml/datasets/adult