3. For this question, suppose you work for SportsBuddy Inc., a startup company which is developing a humanoid robot that will play a variety of sports with you, including tennis, cricket, baseball, soccer, ping pong, and so on. The SportsBuddy robot's users can practice their sports skills with the bot, play competitive games with it, or simply unwind by playing for fun. The bot can mimic the playing style of the user or other players, give advice, track the progress of its users, and automatically make sports videos to share with friends on social media. Identify and select an aspect of the technology behind the SportsBuddy robot, or the SportsBuddy Inc. company's business operation, that can be addressed using data mining. You have complete freedom to choose any aspect of the SportsBuddy robot's technical system or the broader SportsBuddy Inc. company that you like. Then, develop a sensible, clear, and detailed proposal for a data mining solution to it. Think through your overall strategy before you start to answer the questions below. I am looking for a coherent overall approach across your answers, rather than separate unrelated answers. I am looking for a solution that is specific to this scenario, not a generic solution that could apply to any data science problem. Be sure to clearly justify your choices. Your answer must specifically address each phase of the data mining process in turn, and it should be divided into sections for each phase: (a) business understanding (b) data understanding (c) data preparation (d) modeling (e) evaluation (f) deployment. Rubric: For each of your answers regarding the phases of the data mining process above, 1 point will be allocated for satisfactoriness in each of the following four categories: - sensibility / coherence of your solution (is it a reasonable approach with no obvious flaws or inconsistencies?), - clarity (is it easy to understand), - detail (is it thorough?), - justification (are your choices supported by explicitly stated, well-reasoned arguments?)