Your strength and weakness?

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