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Feature selection is the process of selecting relevant features from a dataset, while feature engineering involves creating new features.
Feature selection helps to reduce the dimensionality of the dataset and improve model performance.
Feature engineering involves transforming or combining existing features to create new ones that may be more informative.
Examples of feature engineering include creating interaction ...
Benefits of .Net include platform independence, language interoperability, and extensive class library.
Platform independence allows for development on Windows, macOS, and Linux.
Language interoperability enables developers to use multiple languages within the same project.
Extensive class library provides pre-built code for common tasks, saving development time.
Different types of attributes in STEP include simple attributes, complex attributes, and reference attributes.
Simple attributes: Basic data types like text, number, date, etc.
Complex attributes: Attributes composed of multiple simple attributes.
Reference attributes: Attributes that reference other entities or objects.
Example: Simple attribute - Product Name, Complex attribute - Address (composed of street, city, s...
Experience with various AWS services like SQS, S3, CloudFront, RDS, Aurora, and Lambda.
Experience setting up and managing SQS for message queuing
Experience using S3 for scalable storage solutions
Experience configuring CloudFront for content delivery
Experience working with RDS and Aurora for database management
Experience developing serverless applications with Lambda functions
Measures of Dispersion are used to describe the spread of data around the central tendency.
Measures of Dispersion include Range, Variance, Standard Deviation, and Interquartile Range.
Range is the difference between the maximum and minimum values in a dataset.
Variance measures how far each value is from the mean.
Standard Deviation is the square root of the variance.
Interquartile Range is the difference between the ...
I appeared for an interview in Mar 2025, where I was asked the following questions.
I navigated a challenging situation by employing effective communication, collaboration, and problem-solving skills.
Identified the challenge: A critical project was falling behind schedule due to team miscommunication.
Facilitated a team meeting: I organized a meeting to address concerns and clarify roles, ensuring everyone was on the same page.
Developed a revised timeline: Collaboratively created a new project timeline...
I have extensive experience in IT recruitment, focusing on sourcing, screening, and placing top tech talent across various industries.
Sourced candidates for roles in software development, data analysis, and cybersecurity, resulting in a 30% increase in successful placements.
Conducted in-depth interviews and assessments to evaluate technical skills and cultural fit, improving client satisfaction ratings.
Developed and ma...
I learned about this company through industry networking events and online research, highlighting its reputation in IT recruitment.
I attended a local tech networking event where a representative from your company spoke highly of its innovative approach to recruitment.
I found your company while researching top IT recruitment firms online, and I was impressed by your client testimonials and success stories.
A colleague in...
Benefits of .Net include platform independence, language interoperability, and extensive class library.
Platform independence allows for development on Windows, macOS, and Linux.
Language interoperability enables developers to use multiple languages within the same project.
Extensive class library provides pre-built code for common tasks, saving development time.
Lazy loading in Angular is a technique where modules are loaded only when they are needed, improving performance by reducing initial load time.
Lazy loading helps in loading only the required modules when navigating to a specific route.
It improves the initial load time of the application by loading modules asynchronously.
Lazy loading is achieved by using the loadChildren property in the route configuration.
Example: load...
Different types of attributes in STEP include simple attributes, complex attributes, and reference attributes.
Simple attributes: Basic data types like text, number, date, etc.
Complex attributes: Attributes composed of multiple simple attributes.
Reference attributes: Attributes that reference other entities or objects.
Example: Simple attribute - Product Name, Complex attribute - Address (composed of street, city, state,...
I have over 10 years of experience in project management and team leadership across various industries.
Led a team of 15 in a software development project that increased efficiency by 30%.
Managed cross-functional teams in a healthcare project, ensuring compliance with regulations.
Implemented Agile methodologies, resulting in a 25% reduction in project delivery time.
Conducted training sessions for new team members, enhan...
I applied via Naukri.com and was interviewed before Apr 2023. There were 3 interview rounds.
I applied via Naukri.com and was interviewed in Oct 2022. There was 1 interview round.
Measures of Dispersion are used to describe the spread of data around the central tendency.
Measures of Dispersion include Range, Variance, Standard Deviation, and Interquartile Range.
Range is the difference between the maximum and minimum values in a dataset.
Variance measures how far each value is from the mean.
Standard Deviation is the square root of the variance.
Interquartile Range is the difference between the 75th ...
Linear regression is used for continuous data while logistic regression is used for categorical data.
Linear regression predicts a continuous outcome while logistic regression predicts a probability of an event occurring.
Linear regression uses a straight line to fit the data while logistic regression uses an S-shaped curve.
Linear regression is used for predicting values like house prices while logistic regression is use...
Feature selection is the process of selecting relevant features from a dataset, while feature engineering involves creating new features.
Feature selection helps to reduce the dimensionality of the dataset and improve model performance.
Feature engineering involves transforming or combining existing features to create new ones that may be more informative.
Examples of feature engineering include creating interaction terms...
Gradient Descent is an optimization algorithm used to minimize the cost function of a machine learning model.
Gradient Descent is used in machine learning to find the optimal parameters of a model by minimizing the cost function
It works by iteratively adjusting the parameters in the direction of steepest descent of the cost function
There are two types of Gradient Descent: Batch Gradient Descent and Stochastic Gradient D...
There are three types of machine learning: supervised, unsupervised, and reinforcement learning.
Supervised learning involves training a model on labeled data to make predictions on new data. Example: predicting house prices based on features like location, size, etc.
Unsupervised learning involves finding patterns in unlabeled data. Example: clustering customers based on their purchasing behavior.
Reinforcement learning ...
I appeared for an interview before Jan 2024, where I was asked the following questions.
I appeared for an interview before May 2024, where I was asked the following questions.
Creating a REST API in Java involves using frameworks like Spring Boot to handle HTTP requests and responses.
Use Spring Boot to quickly set up a RESTful service.
Define your data model using Java classes (e.g., @Entity for JPA).
Create a controller class with @RestController to handle requests.
Use @GetMapping, @PostMapping, @PutMapping, and @DeleteMapping for CRUD operations.
Implement service layer for business logic and...
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The duration of Compunnel interview process can vary, but typically it takes about less than 2 weeks to complete.
based on 23 interview experiences
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