Explain feature selection
Machine Learning Intern Interview Questions
8,202 machine learning intern interview questions shared by candidates
How many years do you have of experience?
They used a online tool with python and R IDE. Question were on classification, CNN, linear modelling.
What were you doing in your previous role?
DEEP LEARNING, NLP, ML, Python, Pandas
Following is a coding question: coding for the decision tree from scratch. The interview will give some hints along the way. But still need to understand the algorithm itself.
What is the difference between an iterator and a generator What is the difference between a list and a set. What is the time complexity to search an item in each? What is the difference between multi-threading and multi-processing? when do you use each? What is the difference between is and == operator? What is the difference between Where clause and have clause in SQL? What is a loss function? What is logistic regression? Can you write down the logit function? What loss functions we use for regression? What is the difference between decision trees, random forest, and gradient boosting? What is the difference between L1 and L2 regularisation? Why we need to standardise features? How to explain models? Have you used the shap method before to explain a model? How do we know features importance in linear regression? what might affect this? What is negative sampling?
What is a time you had a conflict in your workplace that you had to resolve
What ML method would you apply to solve this problem? Why would that method be a better choice than other model types?
Motivation to join tidal and the technical assignment
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