For 30 min phone screen. Talk about your past project, then interview grills on the popular machine learning algorithms. Make sure you prepare well the math and intuition behind the algorithms For take home project, they gave a problem statement pertaining to their business and a dataset. I cannot discuss the details of this project but it was based on common application of NLP
Very detailed and specific questions regarding machine learning, data science and Python. Half of these questions you will never learn even after working in this field 5 years.
How did you do data preprocessing, hyperparameter tuning and which evaluation metrics did you use in your application.
What is the Bias Variance Tradeoff
There are went many question.
Couple of machine learning questions and also a asked my to solve a python algorithm question, life code
Suppose you have an M x N grid, where each entry represents a cell with a color of either Blue or White. A A white cell will die if it is not connected to other white cells that are touching the border of the grid. Go through the grid and flip the color of white cells that will die to blue.
Explain decision tree
Live coding questions on python
API Implementation, ML system implementation from scratch.
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