I need to find out how to get information on plus sized women shoppers. How often they shop, if more online than in store, likes, dislikes, age brackets and $$ money they usually spend per shopping trip.
- What data do you have? Where to get it, where to get more information? - How do you need to preprocess the data to get a table suitable for machine learning? - What will be your label (the attribute you want to predict)? - Do you need the best model by technical criteria (accuracy, area under the curve, false positive rate, ...) or an explainable/simple one?
Newbie
Answers
as with each data science project:
- What data do you have? Where to get it, where to get more information?
- How do you need to preprocess the data to get a table suitable for machine learning?
- What will be your label (the attribute you want to predict)?
- Do you need the best model by technical criteria (accuracy, area under the curve, false positive rate, ...) or an explainable/simple one?
etc.
Best regards,
Balázs