Sterling & Wilson Data Science Analyst Interview Questions, Process, and Tips

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Q1. Tell me the difference between List and Tuple ?
Ans. 
List is mutable, Tuple is immutable in Python.
• List can be modified after creation, Tuple cannot be modified.

• List is defined using square brackets [], Tuple is defined using parentheses ().

• List is used for collections of items that may change, Tuple is used for fixed collections.

• Example: list_example = [1, 2, 3], tuple_example = (4, 5, 6)
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Q2. Can we use logistic regression for multi class classification ?
Ans. 
Yes, logistic regression can be used for multi class classification by using techniques like one-vs-rest or softmax.
• Logistic regression is typically used for binary classification, but it can be extended to handle multiple classes.

• One common approach is to use one-vs-rest (OvR) strategy, where a separate binary logistic regression model is trained for each class.

• Another approach is to use softmax regression, which is a...read more
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Q3. What is built in data
Ans. 
Built-in data refers to pre-existing datasets or information that is already included in a software or system.
• Built-in data is typically provided by the software or system for analysis or processing.

• Examples include sample datasets in statistical software like R or Python libraries like scikit-learn.

• Built-in data can also refer to default datasets in databases or data warehouses.

• It can save time and effort by providing
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Q4. What is Decorators in python ?
Ans. 
Decorators in Python are functions that modify the behavior of other functions.
• Decorators are denoted by the @ symbol followed by the decorator name.

• They are commonly used for logging, timing, authentication, etc.

• Decorators can be used to add functionality to existing functions without modifying their code.
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Q5. What is Lambda function ?
Ans. 
A lambda function is a small anonymous function defined without a name.
• Lambda functions are used for creating small, one-time use functions.

• They can take any number of arguments, but can only have one expression.

• Lambda functions are often used in conjunction with higher-order functions like map, filter, and reduce.

• Example: lambda x: x*2 defines a lambda function that doubles the input x.
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