We have a set of data describing a million customers’ various attributes such as demographics, entire purchasing history and app browsing history. It is therefore possible to model the data to predict each customer’s repurchase probability on an individual level. You are then faced with a limited marketing budget, which you can choose to allocate to a set of customers of your choice with the sole goal of maximizing the return brought by spending the budget.
###Important###In your proposal, please try out your best answers to the following quiz for us to make sure you are a truly independent thinker.
1. Briefly describe how typically such a model (e.g., logistic regression, random forest etc.) works in helping to select your set of customers?
2. Have you worked on a similar model and what was it about?
3. Is there any comment you would like to make on this question?
4. On a scale of 1-5 with 5 being for a perfect answer, where do you think your answer stands?
9 freelancers are bidding on average $222 for this job
Your given questions cannot be answered orally. Answers can be determined after analyzing data. How an individual rate the answer i-5 without knowing data.
Hi. I am an expert in machine learning. I have many experiences in ANN/regression/random forest/... We can discuss details via chat. I wait for you now. Thanks.
Hello, I am a data scientist with a great experience who has worked on several problems you can check my kaggle profile: [login to view URL] Thank you