For the case study, describe some data preprocessing techniques. How do you deal with categorical variables with many levels? How would you go about dealing with missing data? How do you evaluate your model? Some other questions will depend on your response during the interview.
Find a pair of numbers in a list that sums up to a target value.
Different types of joins on sql tables, asked to write the output
Une chose qui n'est pas présentée sur votre CV mais vous voulez nous monter. Questions sur Pipeline, regularisation...
What is Decision tree? How to reduce overfitting in Decision trees? What is Bias-Variance tradeoff? What is bagging and boosting? How do YOLO models work ? Where is Linear regression used in real life scenario? What is the difference between linear and logistic regression ?
How to find the second largest maximum of unsorted array by linear scanning? How to find if a number is a power of 2 in smallest time in Py3?
Proving the binomial expansion
to explain the math behind the model
SQL quieries, data science related questions: data processing, wrangling, cleaning techniques and methods.
What is an expected value? What do you mean by supervised learning? Where are nearest neighbor algorithms used? What are hyperparameters in neural networks?
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