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OOPS stands for Object-Oriented Programming System. It is a programming paradigm based on the concept of objects.
OOPS focuses on creating objects that contain data and methods to manipulate that data.
Encapsulation, inheritance, polymorphism, and abstraction are key principles of OOPS.
Example: Inheritance allows a class to inherit properties and methods from another class.
Example: Encapsulation hides the internal state ...
Modifiers describe words that provide additional information about other words in a sentence.
Adjectives describe nouns: e.g. 'beautiful' in 'beautiful flower'
Adverbs describe verbs, adjectives, or other adverbs: e.g. 'quickly' in 'run quickly'
Prepositional phrases act as adjectives or adverbs: e.g. 'in the house' in 'the book on the table in the house'
Participles describe nouns: e.g. 'broken' in 'the broken window'
Infi...
I applied via LinkedIn and was interviewed before Jun 2023. There were 3 interview rounds.
Top trending discussions
I applied via Naukri.com and was interviewed before Nov 2023. There were 2 interview rounds.
Create a business requirement document
Strengths include strong analytical skills and attention to detail. Weaknesses may include difficulty with public speaking and time management.
Strengths: strong analytical skills
Strengths: attention to detail
Weaknesses: difficulty with public speaking
Weaknesses: time management
I applied via Approached by Company and was interviewed in Oct 2022. There were 3 interview rounds.
General computer knowledge test
Program writing in computer basic ideas
I applied via Campus Placement and was interviewed in Nov 2023. There were 3 interview rounds.
It was the easy round to clear they ask basic quans which include DBMS and grammar over all the round was easy
I applied via Campus Placement and was interviewed before Sep 2023. There was 1 interview round.
Random forest is an ensemble learning method that builds multiple decision trees and merges them to improve accuracy and prevent overfitting.
Random forest is a type of ensemble learning method.
It builds multiple decision trees during training.
Each tree is built using a subset of the training data and a random subset of features.
The final prediction is made by averaging the predictions of all the individual trees.
Random...
Boosting is a machine learning ensemble technique where multiple weak learners are combined to create a strong learner.
Boosting is an iterative process where each weak learner is trained based on the errors of the previous learners.
Examples of boosting algorithms include AdaBoost, Gradient Boosting, and XGBoost.
Boosting is used to improve the accuracy of models and reduce bias and variance.
I applied via Naukri.com and was interviewed before Feb 2023. There were 2 interview rounds.
I was interviewed in Sep 2017.
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