Answer / Payal Srivastava

"Unsupervised learning is a type of machine learning where the model learns patterns and structures from the data without explicit supervision or labeled examples. It's used for clustering, anomaly detection, and dimensionality reduction tasks. In unsupervised learning, the goal is to find underlying relationships within the data, such as grouping similar instances together in clusters (clustering) or representing high-dimensional data in a lower-dimensional space (dimensionality reduction)."n

What is ‘tuning’ in ML?

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Explain false negative, false positive, true negative and true positive with a simple example?

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Logistic regression gives probabilities as a result then how do we use it to predict a binary outcome?

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What is machine learning example?

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What language does google use for machine learning?

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What is bias-variance trade-off in machine learning?

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How is machine learning (ml) different from artificial intelligence (ai)?

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How was bayes’ theorem useful in a machine learning context?

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Explain How We Can Capture The Correlation Between Continuous And Categorical Variable?

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What are the topics in machine learning?

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Mention key business metrics that help ML?

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