how many dimensions in RBF kernel in SVM and why that many?
Ml Engineer Interview Questions
2,751 ml engineer interview questions shared by candidates
Basics question of machine learning, regression vs classification, support vector, knn vs kmeans , etc.
basics of ML. Like different ML algorithms, bias, variance tradeoff, previous projects based on ML, known programming languages.
What is linear regression etc
Tough questions on ML Concepts
Difference between Logistic and Linear Regression. What is SVM kernel Working of Decision Tree and Random Forest.
Basic ML concept and built a model in colab from scratch
Asked DS Algo, Puzzles and about NLP
Explain about your projects what tech did you use, what challenges did you face, etc
What will you do if you get a dataset with an important column having lot much missing values?
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