ExcelR Solutions Data Analyst Interview Questions and Answers

It was good with variety of question. Most of the questions from RS Aggrawal.

Q1. Missing values outliers, over fitting underfitting
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Q1. Outliers missing values, overfitting underfitting
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Understanding outliers, missing values, overfitting, and underfitting in data science.
• Outliers are data points that significantly differ from other data points in a dataset.

• Missing values are data points that are not present in a dataset.

• Overfitting occurs when a model learns noise in the training data rather than the underlying pattern.

• Underfitting occurs when a model is too simple to capture the underlying pattern in...read more
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It was good with variety of question. Most of the questions from RS Aggrawal.

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