Quantrium Machine Learning Engineer interview questions

L1 technical Interview: What is Multithreading and Multiprocessing Assumptions taken in Linear Regression Assumption taken in Naive Bayes Classifier What are decorators What is a lambda function How do you handle missing values Ways to tackle overfitting Basic python data structure and differences What is numpy broadcasting Difference between LabelEncoder and OneHotEncoder What is CountVectorizer What is a Confusion matrix Working of Random Forest Algorithm Searching and Sorting algorithms and their time complexities Difference between Tree and Graph What are the different concepts in Object Oriented Programming What is the use of Polymorphism and Inheritance L2 technical Interview: 1.Rectification of mistakes in L1 interview 2.What are the Deep Learning models that you are good at 3.Regularization 4.Ensemble methods And some non-technical stuff