Mostly Hackerrank questions, some Coderpro questions, no Leetcode questions when I interviewed. The smokescreen is mostly simply machine learning problems like: 1. What is L2 regularization? 2. How decision tree splits? 3. Difference between decision tree and random forest classifier? lol
Design push system logic flow with limited budget. Solve biased problem for this.
What are your greatest strengths and weaknesses?
What is your experience with performance reviews?
O que você espera ao entra na Kunumi?
in which ML algorithms mentioned below, it would be beneficiary to apply scaling of data and why? 1) KNN 2) Kmeans 3)Naive Bayes
How would you sample to maximise solar panels in the image
Includes all the basic things, like why you apply for this job, your experience in the past.
What is a tuple in Python?
Loss function used in linear and logistic Regression?
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