Top 50 data Science Interview Questions | Data Science Aptitude Questions Answers

If you are dealing with 10M Data, then will you go for Machine learning (or) Deep learning Algorithm?

Machine learning algorithm suits well for small data and it might take huge amount of time to train for large data. Whereas Deep learning algorithm takes less amount of data to train due to the help of GPU(Parallel Processing).

In Logistic Regression, if you want to know the best features in your dataset then what you would do?

Apply step function, which calculates the AIC for different permutation and combination of features and provides the best features for the dataset.

What is Feature Engineering? Explain with Example?

Feature engineering is the process of using domain knowledge of the data to create features for machine learning algorithm to work -Adding more columns (or) removing columns from the existing column -Outlier Detection -Normalization etc

What is Mid hinge?

The arithmetic mean of the two quartiles is called mid hinge

What is a cap in a box-plot?

An upper cap contains the values which fall between 75th percentile and 75th Percentile+1.5*IQR. Similarly, lower cap contains the values which fall between 25th Percentile and 25th Percentile-1.5*IQR