Topik Dalam Data Mining (Q)
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Zoom Kuliah TD Data Mining
Referensi Materi
Join Github Classroom TD Data Mining
Join Group WA TD Data Mining - PJJ
Google Drive TD Data Mining
Introduction
Module Handbook_Magister of Informatics
RPS
Section 2
Materi Pertemuan 1
Link Zoom Kuliah TD Data Mining (Recuring)
classification [notebook]
Section 3
Data
Section 4
Data Exploration
Data Exploration [notebook]
Section 5
Data Preprocessing [notebook]
data-preprocesing : Clothing Fit Dataset for Size Recommendation
Tugas 1 : Data Exploration and Pre-processing
Section 6
Classification: Basic Concepts and Techniques
Model Overfitting
Decision-Tree Classifier Tutorial [notebook]
Module 6: Classification [notebook]
Section 7
overfitting
Rule Base Classification
Section 8
knn
Naive Bayes
ANN
scikit learn: supervised_learning
Section 9
ANN
SVM
ANN - MLP [notebook]
ANN Tutorial - Breast Cancer [notebook]
SVM Tutorial - Pulsar Star [notebook]
SVM Tutorial - Harddisk Failure [notebook]
Section 10
Tugas ETS : Klasifikasi
Section 11
Ensemble Classifier
Ensemble Learning Tutorial [notebook]
Ensemble Learning: Bagging, Boosting & Stacking [notebook]
Tugas: Implementasi ensemble learning
Section 12
Imbalanced Class
[notebook] Dealing with Imbalanced Datasets
Section 13
Tugas : Ensemble + Imbalance
Section 14
Association Analysis: Basic Concepts
Association Analysis: Advance Concepts
[notebook] Association Rules with Python
Section 15
[ppt] Cluster Analysis: Basic Concepts and Algorithms
[sckit-learn] sklearn.cluster: Clustering
[sckit-learn] Comparing different hierarchical linkage methods on toy datasets
[notebook] K-Means, Hierarchical Clustering
Section 16
[ppt] Cluster Analysis: Advanced Concepts and Algorithms
[ppt] Anomaly Detection
[ppt] Avoiding False Discoveries
Section 17
Demo FP
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Topik Dalam Data Mining (Q)
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Institut Teknologi Sepuluh Nopember
Magister
Fakultas Teknologi Elektro dan Informatika Cerdas
S-2 TEKNIK INFORMATIKA
Semester Gasal 2022/2023
Topik Dalam Data Mining (Q)
Summary
Topik Dalam Data Mining (Q)
Teacher:
Darlis Herumurti