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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 3.2 Feature Scaling and Learning Rate
Topik 4.2 Overfitting
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Topik 4.1 Model Regresi Linear Multivariable
Topik 4.1 Model Regresi Linear Multivariable
Topik 4.1 Model Regresi Linear Multivariable
Persamaan linear regresi multivariabel
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Persamaan linear regresi multivariabel dengan notasi matriks
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Interpretasi hubungan linear antara variabel
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Topik 3.2 Feature Scaling and Learning Rate
Topik 4.2 Overfitting
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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 4.2 Overfitting
Topik 5.1 Random Errors
Topik 5.2 Sum of Squares
Topik 5.3 F-Statistics
Topik 6.1 L1- and L2- Regularization
Case Study Using Python
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