What kind of Machine Learning are you going to use: Supervised (classification/regression), or Unsupervised? And why?

Part 1

The Bradford Smiley Pizza on Time scheme is an initiative by leading pizzerias in Bradford that promises to deliver pizza on time for its customers in a way that respects customers and makes them happy. For this purpose, SPOT is hiring green drivers to deliver the pizza. SPOT has asked you to design and oversee the implementation of the Deliverer Performance Program

Explain how you will design and implement DPP taking into account the following questions:

  1. What is the purpose of DPP?
  2. How will you measure Deliverer Performance?
  3.  What kind of data do you need for this project?
  4. How will you collect the data? Will data collection require special devices?
  5.  What kind of Machine Learning are you going to use: Supervised (classification/regression), or Unsupervised? And why?
  6. How will you evaluate the Deliverer Performance system?
  7. What impediments do you expect to meet and how are you planning to overcome/mitigate these problems?

Part 2

You will be provided with a dataset of housing features and prices. You are required to build a regression model using this data. For this task, you may use R, Python, or the tool of your choice. You can also use the algorithm of your choice to answer this question. What really matters is that you answer the following questions:

  1. What is the importance of each feature in the model?
  2. Predict the house prices in the provided test set and provide the estimated values.