Curriculum
Pemahaman Dasar Machine Learning: Teori dan Implementasi Linear hingga Logistic Regression
Supervised Machine Learning: Regression and Classification
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1. Welcome to Machine Learning
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2. What is Machine Learning?
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3. Unsupervised Learning Part 1
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4. Unsupervised Learning Part 2
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5. Jupyter NotebooksSorry, this lesson is currently locked. You need to complete "4. Unsupervised Learning Part 2" before accessing it.
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6. Linear Regression Model Part 1Sorry, this lesson is currently locked. You need to complete "5. Jupyter Notebooks" before accessing it.
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7. Cost Function FormulaSorry, this lesson is currently locked. You need to complete "6. Linear Regression Model Part 1" before accessing it.
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8. Visualizing the Cost FunctionSorry, this lesson is currently locked. You need to complete "7. Cost Function Formula" before accessing it.
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9. Visualization ExamplesSorry, this lesson is currently locked. You need to complete "8. Visualizing the Cost Function" before accessing it.
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10. Gradient DescentSorry, this lesson is currently locked. You need to complete "9. Visualization Examples" before accessing it.
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11. Implementing Gradient DescentSorry, this lesson is currently locked. You need to complete "10. Gradient Descent" before accessing it.
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12. Gradient Descent IntuitionSorry, this lesson is currently locked. You need to complete "11. Implementing Gradient Descent" before accessing it.
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13. Learning RateSorry, this lesson is currently locked. You need to complete "12. Gradient Descent Intuition" before accessing it.
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14. Gradient Descent for Linear RegressionSorry, this lesson is currently locked. You need to complete "13. Learning Rate" before accessing it.
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15. Running Gradient DescentSorry, this lesson is currently locked. You need to complete "14. Gradient Descent for Linear Regression" before accessing it.
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16. Multiple FeaturesSorry, this lesson is currently locked. You need to complete "15. Running Gradient Descent" before accessing it.
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17. Vectorization Part 1Sorry, this lesson is currently locked. You need to complete "16. Multiple Features" before accessing it.
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18. Vectorization Part 2Sorry, this lesson is currently locked. You need to complete "17. Vectorization Part 1" before accessing it.
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19. Gradient Descent for Multiple Linear RegressionSorry, this lesson is currently locked. You need to complete "18. Vectorization Part 2" before accessing it.
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20. Feature Scaling Part 1Sorry, this lesson is currently locked. You need to complete "19. Gradient Descent for Multiple Linear Regression" before accessing it.
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21. Feature Scaling Part 2Sorry, this lesson is currently locked. You need to complete "20. Feature Scaling Part 1" before accessing it.
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22. Checking Gradient Descent for ConvergenceSorry, this lesson is currently locked. You need to complete "21. Feature Scaling Part 2" before accessing it.
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23. Choosing the Learning RateSorry, this lesson is currently locked. You need to complete "22. Checking Gradient Descent for Convergence" before accessing it.
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24. Feature EngineeringSorry, this lesson is currently locked. You need to complete "23. Choosing the Learning Rate" before accessing it.
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25. Polynomial RegressionSorry, this lesson is currently locked. You need to complete "24. Feature Engineering" before accessing it.
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26. MotivationsSorry, this lesson is currently locked. You need to complete "25. Polynomial Regression" before accessing it.
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27. Logistic RegressionSorry, this lesson is currently locked. You need to complete "26. Motivations" before accessing it.
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28. Decision BoundarySorry, this lesson is currently locked. You need to complete "27. Logistic Regression" before accessing it.
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29. Cost Function for Logistic RegressionSorry, this lesson is currently locked. You need to complete "28. Decision Boundary" before accessing it.
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30. Simplified Cost Function for Logistic RegressionSorry, this lesson is currently locked. You need to complete "29. Cost Function for Logistic Regression" before accessing it.
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31. Gradient Descent ImplementationSorry, this lesson is currently locked. You need to complete "30. Simplified Cost Function for Logistic Regression" before accessing it.
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32. The Problem of OverfittingSorry, this lesson is currently locked. You need to complete "31. Gradient Descent Implementation" before accessing it.
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33. Addressing OverfittingSorry, this lesson is currently locked. You need to complete "32. The Problem of Overfitting" before accessing it.
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34. Cost Function with RegularizationSorry, this lesson is currently locked. You need to complete "33. Addressing Overfitting" before accessing it.
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35. Regularized Linear RegressionSorry, this lesson is currently locked. You need to complete "34. Cost Function with Regularization" before accessing it.
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36. Regularized Logistic RegressionSorry, this lesson is currently locked. You need to complete "35. Regularized Linear Regression" before accessing it.
Membangun Model Prediksi dan Klasifikasi Menggunakan Linear dan Logistic Regression
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Video