1st assignment done as a partial fulfillment of the course, Foundation of Data Science (CS F320)
BITS F320 – Foundations of Data Science II Semester 2018-19 Assignment #1 Due Date: 06th April (Saturday), 2019 Weightage – 10% THE MONEYBALL CASE STUDY
- What problem did the Oakland Athletics Baseball team (popularly known as A’s) faced?
- How did the General Manager, Billy Beane and Assistant General Manager, Paul DePodesta solve the problem?
- Collect all the data relevant to the problem
- How the A’s identified players to be bought (Refer to Sabermetrics)? Build a suitable model.
- Out of the identified players, some would have actually joined the team and some would have refused. Use this data to build a predictive model which would help the A’s in knowing in advance whether a selected player would join or not. Sabermetrics: DePodesta, a graduate in Economics from Harvard University joined the A’s in 1999 and quickly started incorporating analysis of baseball statistics to value and purchase players. Dataset: Use the Moneyball dataset available at Kaggle. Implement all your models in R. Assignment Groups: Form a team of up to 3 students. You will be provided with a presentation template in which you will need to fill the details.