Happymonk AI labs Data Scientist Intern Interview Questions and Answers for Freshers

Basic DP, Array Questions

Q1. Resume Walkthrough and Discussion, Medium level coding questions
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Q1. Discussion with Manager
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Q1. Normal HR round
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Question related to maths basic and some basic blood relations questions

Q1. All the questions we asked based on the Resume
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Q2. Basic question of program like pattern matching prime number
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Q1. Dicision Tree algorithm
Ans. 
Decision Tree algorithm is a supervised learning algorithm used for classification and regression tasks.
• Decision Tree algorithm is based on a tree-like model of decisions and their possible consequences.

• It uses a set of rules to split the data into branches and make predictions at the leaf nodes.

• The algorithm selects the best attribute to split the data based on certain criteria like information gain or Gini index.

• Deci...read more
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1. There were two coding problems from leetcode (1 easy and 1 mediam).
2. One was machine learning problem having hingh weightage. They given a data and we have to make a linear regression model on data and submit prediction.

Q1. It was a technical interview . Mostly focussed on data science machine learning alogorithms. Also do prepare case studies.
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Q2. Explain Random forest. What is gini impurity.
Ans. 
Random forest is an ensemble learning method that constructs a multitude of decision trees and outputs the mode of the classes. Gini impurity is a measure of impurity or randomness used in decision trees.
• Random forest is a collection of decision trees that are trained on different subsets of the data.

• Each decision tree in the forest is trained on a random subset of the features.

• The final prediction is made by taking th...read more
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Q3. One coding question (best time to buy and sell stock leetcode easy version).
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Q4. One case study data science senario based case study.
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First round was mcq which has common statistics and ml questions

Q1. Second was technical round in which they asked basic python and ml questions and some questions from my final yr project
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Q2. Differentiate list and tuple
Ans. 
List is mutable, tuple is immutable in Python.
• List uses square brackets [], tuple uses parentheses ().

• Elements in a list can be changed, elements in a tuple cannot be changed.

• Lists are used for collections of items that may need to be modified, tuples are used for fixed collections of items.

• Example: list_example = [1, 2, 3], tuple_example = (4, 5, 6)
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Q3. Explain regression
Ans. 
Regression is a statistical method used to analyze the relationship between variables.
• Regression helps in predicting the value of a dependent variable based on the values of one or more independent variables.

• It is used to understand the strength and direction of the relationship between variables.

• Common types of regression include linear regression, logistic regression, and polynomial regression.
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Q1. This was just a document verification round with formal hr questions
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Q1. Basic ml questions
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Q2. Scenario and resume based questions
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Python string manupulation questions