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Basics of Machine Learning.pptx
1.
Basics of Machine
Learning
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SUPERVISED MACHINE LEARNING
–REGRESSION ALGORITHM
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SUPERVISED MACHINE LEARNING CLASSIFICATION
ALGORITHM
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Unsupervised Learning &
Semi- Supervised Learning (Recommendation Systems)
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Evaluating Performance -Classification
Metrics
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Model Evaluation
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Model Evaluation
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Model Evaluation
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Model Evaluation
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Model Evaluation
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Model Evaluation
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Model Evaluation
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Confusion Matrix
53.
Model Evaluation
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Model Evaluation
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Model Evaluation
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Model Evaluation
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Model Evaluation
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Model Evaluation
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Model Evaluation
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Accuracy,Recall & Precision
Accuracy = TP/TP+FN+FP+TN Recall = TP/TP+FN Precision =TP/TP+FP
61.
Model Evaluation
62.
Model Evaluation
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Model Evaluation
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Model Evaluation
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Confusion Matrix
66.
Confusion Matrix
67.
Model Evaluation
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Model Evaluation