Week Task
1

                   Gather knowledge to conduct academic research.
2

                           Find capstone project topic by reading journal articles
3 Create abstract relevant to the selected topic, dataset and the research area.
4                     Evaluate the selected dataset specified features and feature selection criteria perform.
5 Find the existing python implementation and prepare it to use selected dataset features and generate sample decision tree models.
6 Find other machine learning algorithms and existing programs. And implement them with selected dataset.
7 Generate the evaluation matrices-based accuracy performances and graphically represent them.
8 Compare the different supervised learning algorithm generated results and come-up with decisions.
9 Do more experiments and ensure that generated results are accurate and relevance.
10 Final most accurate and high performing model decisions present in acceptable way.
11 Present all the acceptance criteria and decisions based on the generated results. And expected future enhancements explain.
12

Gantt Chart

Work Break Down Structure