Skyworks Solutions Data Science Intern Interview Questions and Answers

Easy to answer ,asked mostly on sql and other ml topics

Q1. Differencde between sql and nosql
Ans. 
SQL is a relational database management system, while NoSQL is a non-relational database management system.
• SQL databases are table-based and have a predefined schema, while NoSQL databases are document-based, key-value pairs, graph databases, or wide-column stores.

• SQL databases are good for complex queries and transactions, while NoSQL databases are better for hierarchical data storage and real-time web applications.

• Ex...read more
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Q2. What are the regularization in ml
Ans. 
Regularization in machine learning is a technique used to prevent overfitting by adding a penalty term to the model's loss function.
• Regularization helps in reducing the complexity of the model by penalizing large coefficients.

• Common types of regularization include L1 (Lasso) and L2 (Ridge) regularization.

• L1 regularization adds the absolute value of the coefficients to the loss function, promoting sparsity.

• L2 regulariza...read more
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15 statistical and logical questions

2 easy to medium coding problmes. e.g. swapping the array.

Q1. What is regression ? how it works
Ans. 
Regression is a statistical method used to analyze the relationship between variables and predict outcomes.
• Regression models the relationship between a dependent variable and one or more independent variables.

• It works by finding the best-fit line that minimizes the sum of squared differences between the actual and predicted values.

• Examples include linear regression, polynomial regression, and logistic regression.
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Q2. Questions on recent projects
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Q1. Basic back ground check
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Q1. All analysis questions, missing values imputation, graph plotting, ML Mathematics and few python language questions.
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Q1. Questions on NLP frameworks, feature engineering, decision tree, dimensionality reduction techniques.
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Q1. Questions related to Python , ML, Deep Learning and resume based questions
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Q1. Project related
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Q1. Usual HR questions
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Q1. Basic concepts of SQL
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Q1. What are your salary expectations?
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Q2. Share details of your previous job.
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Q3. Why are you looking for a change?
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Q4. What are your strengths and weaknesses?
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Q5. Tell me about yourself.
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Q1. Describe a decision tree
Ans. 
A decision tree is a flowchart-like model that shows the possible outcomes of a decision based on certain conditions.
• It is a tree-like structure with nodes representing decisions and branches representing outcomes

• Each node has a condition that determines which branch to follow

• It is commonly used in machine learning for classification and regression tasks

• Example: A decision tree for predicting whether a customer will bu...read more
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Q2. What is random forest
Ans. 
Random forest is an ensemble learning method for classification, regression and other tasks.
• Random forest builds multiple decision trees and combines their outputs to improve accuracy.

• It is a popular machine learning algorithm due to its high accuracy and ability to handle large datasets.

• Random forest can be used for both classification and regression tasks.

• It is resistant to overfitting and can handle missing data.

• Exa...read more
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Q3. What is neural network
Ans. 
Neural network is a type of machine learning algorithm inspired by the structure and function of the human brain.
• Consists of layers of interconnected nodes that process information

• Used for tasks such as image recognition, natural language processing, and prediction

• Can be trained using supervised, unsupervised, or reinforcement learning

• Examples include convolutional neural networks, recurrent neural networks, and deep n
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Leetcode style coding