Top 50 data Science Interview Questions

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When to use Logistic Regression and when to use Linear Regression?
If you are dealing with a classification problem like (Yes/No, Fraud/Non-Fraud, Sports/Music/Dance) then use Logistic Regression.
If you are dealing with continuous/discrete values, then go for Linear Regression.
What are the different imputation algorithm available?
Imputation algorithm means “replacing the Blank values by some values)
Mean imputation
Median Imputation
MICE
miss forest
Amelia
What is AIC(Akaike Information Criteria)
The analogous metric of adjusted R² in logistic regression is AIC.
AIC is the measure of fit which penalizes model for the number of model coefficients. Therefore, we always prefer the model with minimum AIC value.
Suppose you have 10 samples, where 8 are positive and 2 are negative, how to calculate Entropy (important to know)
E(S) = 8/10log(8/10) – 2/10log(2/10)
Note: Log is à base 2
What is perceptron in Machine Leaning?
In Machine Learning. Perceptron is an algorithm for supervised classification of the input into one of several possible non-binary outputs