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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 4.1 Model Regresi Linear Multivariable
Topik 5.1 Random Errors
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Topik 4.2 Overfitting
Topik 4.2 Overfitting
Topik 4.2 Overfitting
Aproksimasi nonlinear dengan model regresi linear
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Definisi overfitting
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Penyebab overfitting secara umum (terlalu kompleks, terlalu banyak variabel)
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Topik 4.1 Model Regresi Linear Multivariable
Topik 5.1 Random Errors
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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 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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