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Class Notes for CISC483
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CISC483 Lecture Notes - Lecture 24: Data Mining
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CISC483 Lecture Notes - Lecture 23: Nonlinear Regression, Linear Regression, Data Mining
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CISC483 Lecture Notes - Lecture 21: Data Mining, Dependent And Independent Variables
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CISC483 Lecture Notes - Lecture 22: Logistic Regression, Data Mining, Likelihood Function
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CISC483 Lecture Notes - Lecture 19: Confidence Interval, Data Mining, Null Hypothesis
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CISC483 Lecture Notes - Lecture 18: Data Mining, Confusion Matrix
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CISC483 Lecture Notes - Lecture 17: Data Mining, False Positives And False Negatives
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CISC483 Lecture Notes - Lecture 16: Data Mining
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CISC483 Lecture 15: Naive Bayes Method Examples
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CISC483 Lecture 14: Naive Bayes Method
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CISC483 Lecture 13: Missing Attribute Values
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CISC483 Lecture Notes - Lecture 12: Data Mining
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CISC483 Lecture Notes - Lecture 11: Confidence Interval, Overfitting, Decision Tree Learning
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CISC483 Lecture Notes - Lecture 9: Confidence Interval, Data Mining, Decision Tree Learning
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CISC483 Lecture Notes - Lecture 10: Confidence Interval, Data Mining
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CISC483 Lecture 8: Discretizing Methods (Entropy & Chi-Squared)
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CISC483 Lecture Notes - Lecture 7: Data Mining
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