Data mining

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Part-1 – please answer the below question in 1000 words and atleast 5 References

  1. What were the traditional methods of data collection in the transit system?
  2. Why are the traditional methods insufficient in satisfying the requirement of data collection?
  3. 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

  1. Note the basic concepts in data classification.
  2. Discuss the general framework for classification.
  3. What is a decision tree and decision tree modifier? Note the importance.
  4. What is a hyper-parameter?
  5. Note the pitfalls of model selection and evaluation.

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