Curriculum
Pemrograman dan Algoritma Machine Learning: Dari Decision Tree hingga Naive Bayes
Classification in Data Mining & Machine Learning
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1. Supervised Learning - An Overview
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2. Classification Basics - Concepts
Pratinjau
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3. Decision Trees - Introduction
Pratinjau
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4. Decision Trees - Specifying Test Condition & Attribute Selection MeasuresSorry, this lesson is currently locked. You need to complete "3. Decision Trees - Introduction" before accessing it.
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5. Decision Tree Induction Using ID3, Information Gain (with Solved Example)Sorry, this lesson is currently locked. You need to complete "4. Decision Trees - Specifying Test Condition & Attribute Selection Measures" before accessing it.
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6. Decision Tree Induction Using C4.5 or Gain Ratio (with Solved Example)Sorry, this lesson is currently locked. You need to complete "5. Decision Tree Induction Using ID3, Information Gain (with Solved Example)" before accessing it.
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7. Decision Tree Induction using CART or Gini Index (with Solved Example)Sorry, this lesson is currently locked. You need to complete "6. Decision Tree Induction Using C4.5 or Gain Ratio (with Solved Example)" before accessing it.
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8. Decision Tree Induction: Comparison Between Attribute Selection Measures, Overfitting, & PruningSorry, this lesson is currently locked. You need to complete "7. Decision Tree Induction using CART or Gini Index (with Solved Example)" before accessing it.
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9. Decision Tree Induction in WEKASorry, this lesson is currently locked. You need to complete "8. Decision Tree Induction: Comparison Between Attribute Selection Measures, Overfitting, & Pruning" before accessing it.
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10. Decision Tree Induction in RapidminerSorry, this lesson is currently locked. You need to complete "9. Decision Tree Induction in WEKA" before accessing it.
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11. Naive Bayes Classifier (with Solved Numerical Example)Sorry, this lesson is currently locked. You need to complete "10. Decision Tree Induction in Rapidminer" before accessing it.
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12. Classifier Performance Evaluation Metrics - Confusion Matrix, Precision, Recall, Sensitivity, F1Sorry, this lesson is currently locked. You need to complete "11. Naive Bayes Classifier (with Solved Numerical Example)" before accessing it.
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13. K-Nearest Neighbors (K-NN) with Solved Numerical ExampleSorry, this lesson is currently locked. You need to complete "12. Classifier Performance Evaluation Metrics - Confusion Matrix, Precision, Recall, Sensitivity, F1" before accessing it.
Analisis dan Perbandingan Model Klasifikasi: Decision Tree dan Naive Bayes
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Video