Predictive Analytics and Machine Learning (I)
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RANCANGAN PEMBELAJARAN SEMESTER
Pertemuan 1
Pendahuluan
Pendahuluan
Pertemuan 2
Basic Statistics and Probability
Week 2
Pertemuan 3
Linear Regression
Linear Regression
Pertemuan 4
Generalized Linear Model
Logistic Regression and Discriminant Analysis
Pertemuan 5
Lazy learning-kNN method
lazy learning-kNN method
Pertemuan 6
Lazy learning-kNN method
Pertemuan 7
Probabilistic Learning-Naive Bayes
Probabilistic Learning-Naive Bayes
Data
Pertemuan 8
Probabilistic Learning-Naive Bayes
Pertemuan 9
Classification and Regression Tree (CART)
Classification and Regression Tree (CART)
Section 10
Classification and Regression Tree 2
Section 11
The Black Box Method-ANN and SVM
The Black Box Model-ANN and SVM
Tugas 3
kanker.txt
Section 12
Unsupervised Learning_Principal Component Analysis
Dimensionality Reduction_PCA
Section 13
Cluster Analysis
Pengenalan Cluster Analysis
K-Means Clustering
Section 14
Pertemuan 14
Hierarchical Clustering
Tugas Cluster Analysis
Section 15
Pertemuan 15
Association Rule
Data Groceries
Data Online Retail
Section 16
Pertemuan 16
Tugas Association Rule
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Predictive Analytics and Machine Learning (I)
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Institut Teknologi Sepuluh Nopember
Magister
Fakultas Desain Kreatif dan Bisnis Digital
S-2 MANAJEMEN TEKNOLOGI ANALITIKA BISNIS
Semester Gasal 2020/2021
Predictive Analytics and Machine Learning (I)
Summary
Predictive Analytics and Machine Learning (I)
Teacher:
Jerry Dwi Trijoyo Purnomo
Teacher:
Muhammad Ahsan