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Naive Bayes Classifier
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Machine Learning
Syllabus with topics linked
Logistic Regression
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K-nearest Neighbor Classifier
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Perception
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Multilayer Perception
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Neural Networks
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Back-propagation Algorithm
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Support Vector Machine (SVM)
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Classification Evaluation Metrices
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Approaches for Clustering
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Distance Metrics
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K-means Clustering
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Hierarchical Clustering
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