Skip to main content
Katalog Kelas
Foundation
Tech Deep-dive
Problem Based
Semua Kelas
Login
REGISTER NOW
Regresi Linear
General
General
◄
Topik 5.1 Random Errors
Topik 5.3 F-Statistics
►
Topik 5.2 Sum of Squares
Topik 5.2 Sum of Squares
Topik 5.2 Sum of Squares
Penjelasan bentuk-bentuk sum of squares yang merepresentasikan residual dan noise
Page
Persamaan Sum of Squares
Page
◄
Topik 5.1 Random Errors
Topik 5.3 F-Statistics
►
Jump to...
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 5.3 F-Statistics
Topik 6.1 L1- and L2- Regularization
Case Study Using Python
Home
