1) curse of dimensionality? How would you handle it?

2) How to find the multi collinearity in the data set

3)Explain the difference ways to treat multi collinearity!

4) How you decide which feature to keep and which feature to eliminate after performing multi collinearity test?

5)Explain logistic regression

6)we have sigmoid function which gives us the probability between 0-1 then what is the need of logloss in logistic regression?

7) P value and its significance in statistical testing?

8) How do you split the time series data and evaluation metrics for time series data

9) How did you deploy your model in production? How often do you retrain it?

Date: 29/06/21
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