Ripik.ai Interview Questions and Answers

Q1. Current CTC & Expected CTC
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Q2. Why you want to switch
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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
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Palindrome, React Basics, HTML basics

Q1. Questions about previous role
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Q1. Medium level DS question
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Q2. High level system design.
Ans. 
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
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Q1. Q. What is Bagging and Boosting?
Ans. 
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...read more
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Q2. Q. What are Hyperparameters? What is Hyperparameter tuning?
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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...read more
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Q3. What is covariance and colinearity?
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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...read more
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Q4. What is Chi-square test?
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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
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