rh : 3 raisons pourquoi tu veux aller en conseils case : déf du score F1, explique xgboost à un client, à la fin, comment présenterais tu ta solution au client.
Data Intern Interview Questions
7,487 data intern interview questions shared by candidates
Basic string operation, list,tuple, How to fill missing values, Hands on skills.
All the basic ML questions like overfitting-underfitting, explanation of CNNs, etc. including the details of my work.
Tell me about the project mentioned in your CV.
1. Difference between bagging and boosting? 2. Difference between Hard copy and soft copy? 3. Hyperparameters in GBM and RF?
Describe a time when you made a mistake or when you did not apply the necessary effort in a task or project. What feedback did you receive? How did you change your approach as a result of this feedback?
If a company has a problem where the actual inventory does not match the inventory in our database, how would you solve this problem?
Tell be about oops and it's application?
Tell me about neural networks, how you applied them in your projects and why you preferred them to other solutions.
what will you do to pass your code into production? with all the details you can provide!
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