CS 229

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ML Important Questions for Placements + Data Science Basics
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November 2025

2025/2026

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This document provides a complete set of Machine Learning (ML) interview questions and answers, ideal for placements, internships, and data-science-related job interviews. It covers all essential ML topics such as supervised learning, unsupervised learning, regression, classification, clustering, feature engineering, model evaluation metrics, overfitting, regularization, bias–variance tradeoff, gradient descent, SVM, decision trees, ensemble methods, neural networks, and more. All concepts ar...
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