1. State differences between supervised and unsupervised learning 2. what are the performance metrics used for regression and classfication 3. How does an SVM classifer work using kernel trick ? 4. In depth questions about project. 5. Briefly describe an event where you learnt new courses and applied that in your project 6. Describe a situation where you made a mistake in project and how did you appraise your team mates about the mistake
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