Make sure all your code is in functions. 1. Preprocess the customer data https://www.kaggle.com/carrie1/ecommerce-data Links to an external site. or https://www.kaggle.com/datasets/imakash3011/customer-personality-analysi Links to an external site. How are you handling nulls? What process(es) are you using to encode and normalize the data? 2. Perform k-means on this dataset for customer segments. Customer segments help determine what types of people buy your product, which allows you to target more people like your usual customers. Should you look at all the data, or which subset of data should you use? What is the ideal number of clusters? Which approach did you use to find the ideal number of clusters and why? 3. Perform hierarchical clustering for customer segments. What is the ideal number of clusters? Which approach did you use to find the ideal number of clusters and why? 4. Compare the results of 2 and 3. Which approach do you think is best? Why?
Recent Posts
- Describe the International Council of Nurses, Nurse Practitioner/Advanced Practice Nursing Network, plus what is being done to decrease healthcare dispari
- Reflect on the strategies presented in the Resources this week’s Learning Resources in support of locating and analyzing research. Use the Walden Librar
- Overview The final case study for this course will require you to analyze a court decision in which a hospital was found vicariously liable on a theory of
- A physical therapist receives a phone call from a woman demanding to know when her daughter-in-law’s next appointment is. The therapist tells the woman th
- The development of a database requires thorough methodology that ensures quality within the solution. Imagine you have been contracted to develop a financ