Q(R1): What is your past experience, and how would you fit the role we are hiring for? Q(R2): What is the difference between bagging and boosting? What algorithms do you know from each class, and on what types of problems have you applied them in the past? Q(R3): Given this data, how would you build the dataset and the ML training pipeline?
What is the difference between SVM and Logistic Regression?
why do you want to join the company
Leetcode medium question. don't remember exactly
1. What are the recent projects you worked on? 2. Tell me about yourself
Why are you over-hyping yourself in the interview?
The interviewer asked about the Data Science project pipeline and what to do at each stage starting from data collecting, exploring, cleaning, EDA, Feature Engineering, modeling, deployment .. etc
about performance matrix in machine leaning and few algorithm like decision tree and logistic regression
1. Machine learning algorithms that you are familiar with and ask me to talk about the algorithm of random forest and boost
What makes you excited to get up in the morning? What will people say about you at your funeral? What is regularization? Can you describe dropout, L2 and L1 regularization?
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