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Laiqa Interview Questions and Answers

Updated 5 Feb 2024

Q1. Can regression be used to solve Classification Problems?

Ans.

No, regression is used for predicting continuous values, while classification is used for predicting categorical values.

  • Regression predicts continuous values, while classification predicts categorical values

  • Regression models include linear regression, polynomial regression, etc.

  • Classification models include logistic regression, decision trees, etc.

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Q2. What tools have you worked with?

Ans.

I have worked with tools such as Excel, SQL, Python, Tableau, and Power BI.

  • Excel

  • SQL

  • Python

  • Tableau

  • Power BI

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Q3. Differentiate between Inner and Outer Join

Ans.

Inner join returns only the matching rows between two tables, while outer join returns all rows from both tables.

  • Inner join combines rows from two tables based on a related column

  • Outer join combines rows from two tables even if there is no match based on a related column

  • Examples: Inner join - SELECT * FROM table1 INNER JOIN table2 ON table1.id = table2.id

  • Outer join - SELECT * FROM table1 LEFT OUTER JOIN table2 ON table1.id = table2.id

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Q4. What is Bivariate Analysis?

Ans.

Bivariate analysis is the analysis of two variables to determine if there is a relationship between them.

  • It involves examining the relationship between two variables to determine if changes in one variable are associated with changes in the other variable.

  • Common techniques used in bivariate analysis include correlation analysis, scatter plots, and regression analysis.

  • Bivariate analysis helps in understanding the strength and direction of the relationship between two variables...read more

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Q5. Explain the model evaluation metrics.

Ans.

Model evaluation metrics are used to assess the performance of a predictive model by comparing predicted values with actual values.

  • Common model evaluation metrics include accuracy, precision, recall, F1 score, ROC-AUC, and mean squared error.

  • Accuracy measures the proportion of correct predictions out of the total predictions made by the model.

  • Precision measures the proportion of true positive predictions out of all positive predictions made by the model.

  • Recall measures the pr...read more

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Q6. decorator with example

Ans.

A decorator in Python is a design pattern that allows you to add new functionality to an existing object without modifying its structure.

  • Decorators are functions that take another function as an argument and extend its behavior without modifying it directly.

  • They are commonly used in web frameworks like Django to add functionality to views or methods.

  • Example: @login_required decorator in Django ensures that only authenticated users can access a particular view.

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Q7. difference tuple and list

Ans.

Tuple is immutable, ordered collection of elements while list is mutable, ordered collection of elements.

  • Tuple is defined using parentheses () while list is defined using square brackets []

  • Tuple elements cannot be changed once defined while list elements can be modified

  • Tuple is faster than list for iteration and accessing elements

  • Example: tuple_example = (1, 2, 3) and list_example = [1, 2, 3]

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Q8. dictionary with examples

Ans.

A dictionary in Python is a collection of key-value pairs, where each key is unique and maps to a specific value.

  • Keys must be unique within a dictionary.

  • Values can be of any data type, including lists, tuples, or even other dictionaries.

  • Access values in a dictionary using their corresponding keys.

  • Example: {'name': 'John', 'age': 30, 'city': 'New York'}

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