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I applied via LinkedIn and was interviewed in Apr 2024. There was 1 interview round.
It was 45 min interview based on mathematical, probablity, statistical, machine leaning based questions
I applied via Campus Placement and was interviewed before May 2023. There were 3 interview rounds.
It was on python ,SQL ,logical reasoning and quant
Case study was given on a business scenario
Cross validation is a technique to evaluate the performance of a model by splitting the data into multiple subsets.
Cross validation helps in assessing how well a model generalizes to new data.
It involves splitting the data into training and testing sets multiple times to get a more reliable estimate of model performance.
Common types of cross validation include k-fold cross validation and leave-one-out cross validation.
Confusion Matrix is a table used to describe the performance of a classification model.
Confusion Matrix is a 2x2 table with Actual and Predicted values
It consists of True Positive, True Negative, False Positive, and False Negative
Example: TP=100, TN=50, FP=10, FN=5
Accuracy = (TP + TN) / (TP + TN + FP + FN)
Precision = TP / (TP + FP)
Recall = TP / (TP + FN)
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I applied via Referral and was interviewed before Apr 2023. There was 1 interview round.
I applied via Recruitment Consulltant
I applied via Internshala and was interviewed before Sep 2021. There were 2 interview rounds.
I applied via LinkedIn and was interviewed before Apr 2021. There was 1 interview round.
I applied via Referral and was interviewed before Apr 2021. There were 2 interview rounds.
I applied via Walk-in and was interviewed before Apr 2021. There was 1 interview round.
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