كورس data mining

  • Data Mining with Weka (1.1: Introduction)

  • Data Mining with Weka (1.2: Exploring the Explorer)

  • Data Mining with Weka (1.3: Exploring datasets)

  • Data Mining with Weka (1.4: Building a classifier)

  • Data Mining with Weka (1.5: Using a filter )

  • Data Mining with Weka (1.6: Visualizing your data)

  • Data Mining with Weka (Class 1 Questions) غير مدرج

  • Data Mining with Weka (2.1: Be a classifier!)

  • Data Mining with Weka (2.1: Be a classifier!)

  • Data Mining with Weka (2.1: Be a classifier!)

  • Data Mining with Weka (2.2: Training and testing)

  • Data Mining with Weka (2.3: Repeated training and testing)

  • Data Mining with Weka (2.4: Baseline accuracy)

  • Data Mining with Weka (2.5: Cross-validation)

  • Data Mining with Weka (2.6: Cross-validation results)

  • Data Mining with Weka (Class 2 Questions)

  • Data Mining with Weka (3.1: Simplicity first!)

  • Data Mining with Weka (3.2: Overfitting)



Data Mining with Weka (1.1: Introduction) Data Mining with Weka (1.2: Exploring the Explorer) Data Mining with Weka (1.3: Exploring datasets) Data Mining with Weka (1.4: Building a classifier) Data Mining with Weka (1.5: Using a filter ) Data Mining with Weka (1.6: Visualizing your data) Data Mining with Weka (Class 1 Questions) غير مدرج Data Mining with Weka (2.1: Be a classifier!) Data Mining with Weka (2.1: Be a classifier!) Data Mining with Weka (2.1: Be a classifier!) Data Mining with Weka (2.2: Training and testing) Data Mining with Weka (2.3: Repeated training and testing) Data Mining with Weka (2.4: Baseline accuracy) Data Mining with Weka (2.5: Cross-validation) Data Mining with Weka (2.6: Cross-validation results) Data Mining with Weka (Class 2 Questions) Data Mining with Weka (3.1: Simplicity first!) Data Mining with Weka (3.2: Overfitting)

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