An initial round (background/ profile based), a simple classification problem as homework, a technical interview (mostly based on how the solution was framed for the homework), an interview with a non-technical person, and a final round with their co-founder.

1. Why does multicollinearity happen in regression?
2. Working of boosted trees
3. Types of regularization
4. Overfitting and underfitting

Question

An initial round (background/ profile based), a simple classification problem as homework, a technical interview (mostly based on how the solution was framed for the homework), an interview with a non-technical person, and a final round with their co-founder.

1. Why does multicollinearity happen in regression?
2. Working of boosted trees
3. Types of regularization
4. Overfitting and underfitting

Hamza Ghojaria · Accepted Answer

1.  when the independent variable are correlated in a  regression model.
2. in this each new tree isa fit on  modified version of the original data set .
3. Lasso and Ridge Regularization.
4.  Good performance on training data and bad performance for the other one.

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