• Performed data-perprocssing using python on dataset with 165634 records.
• Performed classification and prediction of human activities with sensors data using, 1,2,3,4 sensors.
• Applied Machine Learning algorithums : K-Nearest Neighbour,Decision Tree, Random Forest.
• Achieved highest accuracy of 99% using Random Forest and K-Nearest Neighbour with 4 sensors.