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I applied via Referral and was interviewed before Feb 2023. There was 1 interview round.
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I applied via Company Website and was interviewed before Feb 2023. There was 1 interview round.
I applied via Referral
30 minutes Aptitude test
1 Hour 30 minutes on SQL screening test
K-means is a popular clustering algorithm used to partition data points into K clusters based on similarity.
K-means aims to minimize the sum of squared distances between data points and their respective cluster centroids.
It requires the number of clusters (K) to be specified in advance.
The algorithm iteratively assigns data points to the nearest cluster centroid and updates the centroids until convergence.
K-means is se...
I applied via Approached by Company and was interviewed in Mar 2023. There were 3 interview rounds.
Develop an ML solution from the given problem statement and data.
GBM is a machine learning algorithm that builds multiple decision trees to predict outcomes and combines them to improve accuracy.
GBM stands for Gradient Boosting Machine
It builds multiple decision trees sequentially, each one correcting errors made by the previous tree
The final prediction is a combination of predictions from all the trees
GBM is an ensemble learning technique that is popular for its high accuracy and f
I applied via LinkedIn and was interviewed in Aug 2022. There were 5 interview rounds.
It was the assignment including the data science problem and SQL questions for one of the datetime table. Assignment was for 3 hours and had to complete some mandatory questions from data science assignment.
I applied via Company Website and was interviewed before Feb 2023. There was 1 interview round.
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