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Supervised Learning -Concrete Learning algorithm - Regression - predicting student mark.
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Unsupervised Learning - Grouping By Similarity - prediction of student to pass or fail.
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Logistic Regression - Categorization.
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Confusion Matrix
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Overfitting and Underfitting
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Need for bias - Aim for low bias and low variance to properly fit the model.
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Less features - low variance , more features - High variance.
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Precision and Recall -
Precision and Recall: A Tug of War
