TCS Jr. Data Scientist Interview Questions and Answers for Experienced

This was good aptitude test computer based

Coding round share screen and code

Q1. Explains OOPs concept
Ans. 
OOPs (Object-Oriented Programming) is a programming paradigm based on the concept of objects, which can contain data and code.
• OOPs focuses on creating objects that interact with each other to solve complex problems.

• Key principles of OOPs include encapsulation, inheritance, polymorphism, and abstraction.

• Encapsulation involves bundling data and methods that operate on the data into a single unit (object).

• Inheritance allo...read more
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Q2. Explain SOLID principles
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SOLID principles are a set of five design principles in object-oriented programming to make software more maintainable, flexible, and scalable.
• Single Responsibility Principle (SRP) - A class should have only one reason to change.

• Open/Closed Principle (OCP) - Software entities should be open for extension but closed for modification.

• Liskov Substitution Principle (LSP) - Objects of a superclass should be replaceable with...read more
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Q1. What is precision and recall
Ans. 
Precision and recall are evaluation metrics used in machine learning to measure the performance of a classification model.
• Precision is the ratio of correctly predicted positive observations to the total predicted positive observations.

• Recall is the ratio of correctly predicted positive observations to the all observations in actual class.

• Precision is important when the cost of false positives is high, while recall is i...read more
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Q1. What are the different supervised models used
Ans. 
Supervised models include linear regression, logistic regression, decision trees, random forests, support vector machines, and neural networks.
• Linear regression: used for predicting continuous outcomes

• Logistic regression: used for binary classification

• Decision trees: used for classification and regression tasks

• Random forests: ensemble method using multiple decision trees

• Support vector machines: used for classification ...read more
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Q2. Linear regression, logistic regression, decision tree
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Q1. What are the salary expectations
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