Part-1 – please answer the below question in 1000 words and atleast 5 References
- What were the traditional methods of data collection in the transit system?
- Why are the traditional methods insufficient in satisfying the requirement of data collection?
- Give a synopsis of the case study and your thoughts regarding the requirements of the optimization and performance measurement requirements and the impact to expensive and labor-intensive nature.
Part-2 – please answer the below question in 800 words and atleast 5 References
- Note the basic concepts in data classification.
- Discuss the general framework for classification.
- What is a decision tree and decision tree modifier? Note the importance.
- What is a hyper-parameter?
- Note the pitfalls of model selection and evaluation.
Introduction, body and conclusion