ZS Decision Scientist Interview Questions and Answers

Q1. Ml based questions, linear regression, classifications, regularizations, clustering based questions
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Q2. Coding test based on a data frame
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Q1. Techno managerial round
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Q2. Lots of ML use case based questions
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Q1. Interview with Director
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Q2. Questions based on projects done on cv
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Combination logic on python

Q1. Explain classification
Ans. 
Classification is a machine learning technique used to categorize data into different classes or categories based on past observations.
• Classification involves training a model on labeled data to predict the class of new, unseen data points.

• Common algorithms for classification include logistic regression, decision trees, support vector machines, and k-nearest neighbors.

• Examples of classification tasks include spam email...read more
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Machine Learning, Metrics

Q1. Questions on PowerBI & Power Query
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Q1. Interpersonal communication skills
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Q1. About the projects I have worked
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Q2. Similarity score of document and word
Ans. 
Similarity score measures the degree of similarity between two documents or words.
• Similarity score can be calculated using various techniques such as cosine similarity, Jaccard similarity, and Euclidean distance.

• Cosine similarity measures the cosine of the angle between two vectors, while Jaccard similarity measures the intersection over union of two sets.

• Euclidean distance measures the distance between two points in a...read more
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Simple Data Science Case Study

Q1. Python knowledge related questions
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Data Science Case Study

Q1. What is Linear regression
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Q2. What li list and tuple
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Q3. Previous company project experience
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