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Katalog Kelas
Foundation
Tech Deep-dive
Problem Based
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Regresi Linear
General
General
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Topik 5.3 F-Statistics
Case Study Using Python
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Topik 6.1 L1- and L2- Regularization
Topik 6.1 L1- and L2- Regularization
Topik 6.1 L1- and L2- Regularization
Overfitting revisited
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Apa dan kenapa regularisasi?
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Persamaan model regresi linear dengan regularisasi L1
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Peran regularisasi L1 menyelesaikan overfitting
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Persamaan model regresi linear dengan regularisasi L2
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Peran regularisasi L2 menyelesaikan overfitting
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Topik 5.3 F-Statistics
Case Study Using Python
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Main course page
Deskripsi Kelas
Topik 1.1 : Bagaimana Cara Kerja Kelas ini?
Topik 1.2 : Perspektif Sejarah Tentang Regresi Linear
Topik 1.3 : Contoh Kasus Regresi Linear
Topik 2.1 : Model Regresi Linear
Topik 2.2 Least Square, Koefisien Koreasi dan Determinasi
Topik 2.3 Korelasi dan Kausasi
Topik 2.4 Statistical Deep Dive
Topik 3.1 Gradient Descent
Topik 3.2 Feature Scaling and Learning Rate
Topik 4.1 Model Regresi Linear Multivariable
Topik 4.2 Overfitting
Topik 5.1 Random Errors
Topik 5.2 Sum of Squares
Topik 5.3 F-Statistics
Case Study Using Python
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