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Top 50+ Data Analyst Interview Questions & Answers

Pickl AI

Overfitting occurs when a model learns the training data too well, including noise and irrelevant patterns, leading to poor performance on unseen data. Techniques such as cross-validation, regularisation , and feature selection can prevent overfitting. In my previous role, we had a project with a tight deadline.

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Big Data Syllabus: A Comprehensive Overview

Pickl AI

Model Evaluation Techniques for evaluating machine learning models, including cross-validation, confusion matrix, and performance metrics. Understanding how to assess model performance is crucial for data scientists. Students should learn how to choose the right type of visualisation for different data types.