NetTech Data Science Trainer Interview Questions and Answers

Python and SQL coding are essential for data science. ML algorithms are used for predictive modeling.

• Python is used for data cleaning, manipulation, and visualization.

• SQL is used for data querying and manipulation in databases.

• ML algorithms are used for predictive modeling and classification tasks.

• Examples of ML algorithms include linear regression, decision trees, and neural networks.

Questions related to programming and machine learning concepts.

• pass and continue are control statements in Python. pass does nothing and continue skips the current iteration of a loop.

• try-except is a block of code used to handle errors and exceptions in Python.

• Semi-supervised ML is a type of machine learning where some data is labeled and some is not. Supervised ML uses labeled data while unsupervised ML uses unlabeled...read more

I am very confident with the syllabus.

• I have thoroughly studied and prepared the syllabus.

• I have experience teaching the topics covered in the syllabus.

• I am up-to-date with the latest developments in the field.

• I am confident in my ability to explain complex concepts in a simple manner.