3.Term Project

3.1. Approach & Motivation

• The objective of this section is to introduce the students to the concepts & collaterals to the term project and help them formulate and solve a analytics problem
• Although some of the material will be discussed and reviewed in the class; this is a ready recokner reference while under taking the term project
• Students are expected to do their own research formulate strategies and use Python skills taught in the course to solve the problem
• The idea is to mirror as closely as possible a real world experience in problem solving using Data Science
• The Term Project is 30% weightage towards final grade
• This is a individual project and you need to complete all component of the project to get credit for the project- 'All or Nothing'

3.2. Term Project Deliverables

• A slide deck to be progressively built and presented on weeks- 7,11,15
• Google colab notebook(s) with markdown content and execution code that actually executes without any error
• Grading:
  • Instructor's view on Collegial Feedback
  • Instructor's view on the quality of work
  • Quality of response to questions during presentation

3.3 Expectation from Students

1. Define a problem that feel passionate about
2. Research and identify data set
3. Define end goal of the analysis
4. Apply tools and techniques learnt in the class to solve the problem
5. Explain results in terms of metrics and visualize results

3.4. Revisit the Data Science Process

from IPython.core.display import Image, display
display(Image('https://www.kdnuggets.com/wp-content/uploads/data-science-process.jpg', width=800, height=800))

3.5 Student Presentation Schedule

3.5.1 Week 7: Term Project Presentation- Approach & Plan [Outline]

• Term Project Outline:
  • Problem Statement
  • Problem Formulation
  • Data Set(s)
  • High Level Data Set understanding

3.5.2 Week 11: Term Project Presentation- Data Exploration & Modeling

• Data Exploration Results [5 pages]
• Develop Intuition for prediction

3.5.3 Week 15: Final Project Presentation

• Visualize Prediction results
• One big number
• Key Takeaways
• Appendix
• References