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Supervised learning is a type of machine learning where the model is trained on labeled data to make predictions or decisions.
Uses labeled training data to learn the mapping between input and output variables
The model is trained on a dataset where the correct output is known
Examples include classification and regression tasks
Overfitting occurs when a model learns the noise in the training data rather than the underlying pattern.
Overfitting happens when a model is too complex and captures noise in the training data.
It leads to poor generalization on new, unseen data.
Techniques to prevent overfitting include cross-validation, regularization, and early stopping.
Example: A decision tree with too many branches that perfectly fits the training d
I applied via Job Portal
A/B Testing, data structures
I was interviewed in Nov 2020.
I applied via Naukri.com and was interviewed in Aug 2023. There was 1 interview round.
I applied via Walk-in and was interviewed in Apr 2022. There were 3 interview rounds.
Find the greatest number that will divide 43, 91 and 183 so as to leave the same remainder in each case.
A.
4
B.
7
C.
9
D.
13
I was interviewed in Jan 2025.
Basic and general test
Testing common questions of aptitude
I applied via Walk-in and was interviewed in Jan 2024. There was 1 interview round.
based on 1 interview
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NIKE
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