KPMG India Data Scientist Interview Questions and Answers

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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It was on HackerRank

Building a reward points model.

Q1. About BER GPT and transformers
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Q2. Natural language processing
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Machine Learning, Metrics

Simple Data Science Case Study

Q1. Python knowledge related questions
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Data Science Case Study

Q1. Asked questions regarding my current role and responsibilities
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Q1. Lots of questions related to Data Science coding test
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Q1. Taken two rounds of test to check cultural and team fitment.
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Q1. What is the difference between precision and recall
Ans. 
Precision is the ratio of correctly predicted positive observations to the total predicted positives, while recall is the ratio of correctly predicted positive observations to the all observations in actual class.
• Precision focuses on the accuracy of positive predictions, while recall focuses on the proportion of actual positives that were correctly identified.

• Precision = TP / (TP + FP), Recall = TP / (TP + FN)

• High prec...read more
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