Abstract: Activity recognition data set built from the recordings of 30 subjects performing basic activities and postural transitions while carrying a waist-mounted smartphone with embedded inertial sensors. Link to Dataset Loaded and Processed TXT-format Train and Test data into DataFrame Applied 6 Classification Algorithms (Logistic Regression, K-Nearest Neighbors, Support Vector Machines, Naive Bayes, Decision Tree, Random Forest) and 10-fold cross validation procedure is used to evaluate each algorithm F1-Score: Logistic Regression - 93.