Caterpillar Inc Data Scientist Interview Questions and Answers

Q1. A time when you delivered more than expected
Ans. 
I delivered more than expected by implementing a new machine learning algorithm that significantly improved model accuracy.
• Identified the need for a more advanced algorithm based on data analysis

• Researched and implemented a cutting-edge machine learning algorithm

• Tested the new algorithm on a sample dataset and compared results with existing models

• Achieved a significant increase in model accuracy, exceeding initial expe
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Test based on Python Programming nomenclatures and statistical concepts.

One topic to discuss based on latest in technology. For example Impact of AI on human jobs

Q1. Technical and HR round is combined for understanding behaviour of the candidate.
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Q2. What is Naive Bayes Algorithm?
Ans. 
Naive Bayes Algorithm is a simple probabilistic classifier based on Bayes' theorem with strong independence assumptions.
• It is based on the assumption that the presence of a particular feature in a class is unrelated to the presence of any other feature.

• It calculates the probability of each class given a set of input features and selects the class with the highest probability.

• Commonly used in text classification, spam f...read more
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Q3. What is Logistic Regression and what are the assumptions of linear regression?
Ans. 
Logistic Regression is a statistical method used to model the probability of a binary outcome.
• Logistic Regression is used when the dependent variable is binary (e.g., 0 or 1, Yes or No).

• It estimates the probability that a given input belongs to a certain category.

• Assumptions of linear regression include linearity, independence of errors, homoscedasticity, and normality of errors.
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