Shiprocket Private Limited Data Science Intern Interview Questions and Answers

Q1. Can you describe your current project or any past projects that are related to machine learning?
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Q2. What is Linnear regression ?
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Q3. Diff betn linnear and logistic regression?
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Q4. Diff betn random forest vs decision tree algorithm?
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Q5. Formula for precision?
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Q6. Common metrics to find accuracy of linnear regression model and Logistic regression model?
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Q7. What is recall and F1?
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Q8. Tell me example of ensemble technique?
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Q1. Tell me about your projects?
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Q2. How do you approach the project if you are using logistic regression model?
Ans. 
Approach involves data preprocessing, model training, evaluation, and interpretation.
• Perform data preprocessing such as handling missing values, encoding categorical variables, and scaling features.

• Split the data into training and testing sets.

• Train the logistic regression model on the training data.

• Evaluate the model using metrics like accuracy, precision, recall, and F1 score.

• Interpret the model coefficients to under...read more
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Q1. What are you future goals?
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Q2. What would you do if your interested field doesnt have any work in the company?
Ans. 
I would seek opportunities to apply my skills in related fields within the company.
• Explore other departments or teams within the company that may have projects related to my field of interest

• Offer to collaborate with colleagues in different departments to bring a new perspective to their projects

• Seek out professional development opportunities to expand my skills and knowledge in related areas
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Easy topics arrays, sequence sum.

Write a script to print a python for loop

Q1. Basic Recommendation System Questions
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Q2. A B Testing Questions
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Questions related to basic coding were asked, and some background on projects and discussions alongside maths and statistics concepts

Q1. Questions related to projects done at my previous company
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Q1. Questions related to my work at previous company
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Q2. ML system design use case type of discussion
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Build a simple cat and dog image classifier

Q1. ML related questions
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Q1. Behavioural questions, basically to check if you will be fit in a team
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