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I applied via Walk-in and was interviewed in Apr 2023. There were 4 interview rounds.
Made a machine learning model
Handling imbalanced data involves resampling techniques like oversampling or undersampling. Imputation techniques include mean, median, mode, or predictive modeling.
For imbalanced data, consider using techniques like oversampling (SMOTE) or undersampling to balance the classes.
Imputation techniques include filling missing values with mean, median, mode, or using predictive modeling like KNN or Random Forest.
Evaluate th...
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I was interviewed before Jan 2024.
posted on 30 Jan 2024
posted on 27 Jun 2023
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data. K-means clustering is a type of unsupervised learning algorithm. KNN is a supervised learning algorithm. SQL joins are used to combine data from multiple tables.
Supervised learning uses labeled data to train a model, while unsupervised learning uses unlabeled data
K-means clustering is a type of unsupervised learning...
I was interviewed before Jan 2024.
based on 1 interview
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