• Determine the more suitable data for a study.
• Gathering data from various sources.
• Data cleaning and wrangling.
• Exploring data using SPSS, MEDCALC, and python.
• Drawing conclusions using python.
• Building MLTs for prediction using Weka, MATLAB, and python.
• Evaluating MLTs.
• Optimizing the best ML model.
• Building GUI for the best applicable model.