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I appeared for an interview in Apr 2023.
Bagging and Boosting are ensemble learning techniques used to improve the performance of machine learning models.
Bagging (Bootstrap Aggregating) involves training multiple models on different subsets of the training data and combining their predictions through averaging or voting.
Random Forest is an example of a bagging algorithm where decision trees are trained on random subsets of the data.
Boosting focuses on trainin...
Hyperparameters are parameters that are set before the learning process begins. Hyperparameter tuning is the process of selecting the best hyperparameters for a machine learning model.
Hyperparameters are not learned during the training process, but are set before training begins.
Examples of hyperparameters include learning rate, number of hidden layers in a neural network, and regularization strength.
Hyperparameter tun...
Covariance measures the relationship between two variables, while colinearity refers to the situation where two or more predictors in a multiple regression model are highly correlated.
Covariance is a measure of how two variables change together. A positive covariance indicates that the variables tend to increase or decrease together, while a negative covariance indicates that one variable tends to increase as the other...
Chi-square test is a statistical test used to determine if there is a significant association between two categorical variables.
Used to compare observed data with expected data based on a hypothesis
Calculates the difference between observed and expected frequencies
Commonly used in research studies to analyze relationships between variables
I applied via Referral and was interviewed in Aug 2024. There were 2 interview rounds.
Seeking new challenges and growth opportunities in a dynamic environment.
Looking for opportunities to work with the latest technologies and tools
Interested in expanding my skill set and knowledge in front end development
Seeking a more collaborative and innovative work culture
Want to take on more responsibility and contribute to impactful projects
Palindrome, React Basics, HTML basics
High level system design involves creating an overview of the system architecture and components.
Identify the main components and their interactions
Consider scalability, reliability, and performance
Choose appropriate technologies and frameworks
Ensure security and data privacy
Document the design and communicate it to stakeholders
Ripik.ai interview questions for popular designations
Top trending discussions
I applied via Campus Placement
My final year project was on developing a web-based inventory management system using Java and MySQL.
Developed using Java and MySQL
Web-based inventory management system
Implemented basic OOPs concepts
Used MVC architecture for better code organization
Included features like user authentication, product management, and order tracking
I applied via LinkedIn and was interviewed before Jun 2021. There were 2 interview rounds.
They give some topics related to present situation like in my GD in 2020 co. HR give topics related to that situation in our country like difference between offline education and online education system. and covid-19 pandemic related topics.
I applied via Naukri.com and was interviewed in Sep 2021. There were 2 interview rounds.
Types of test steps in software testing
Unit testing - testing individual units or components of the software
Integration testing - testing how different units or components work together
System testing - testing the entire system as a whole
Acceptance testing - testing if the software meets the requirements and is ready for release
Regression testing - testing to ensure that changes or updates to the software did not intro...
I applied via Walk-in and was interviewed before Nov 2021. There was 1 interview round.
based on 5 interviews
Interview experience
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