├── README.md ├── dataset ├── 6.3_HalticaCarduorum.csv ├── 6.3_HalticaOleracea.csv ├── README.md ├── airports.csv ├── customers.csv ├── klasering_dataset.txt ├── klasifikasi_dataset_iris.csv ├── mnist2500_labels.txt ├── movies.csv ├── purchases_small.csv ├── ratings.csv ├── t10k-images.idx3-ubyte ├── t10k-labels.idx1-ubyte └── tweets.csv ├── edisi1 ├── 10.12 Neural Network.py ├── 11 SVM.py ├── 110.7.1 Perceptron.py ├── 13.1 Regresi Linear Sederhana.py ├── 13.3 Regresi Linear & Polinomial.py ├── 13.4 Regresi dg regularisasi.py ├── 13.5 Regresi Logistik.py ├── 14.5 SVR.py ├── 15.2 Kernel k-Means.py ├── 17.2 PCA.py ├── 17.3 t-SNE.py ├── 17.4 LDA untuk dimentionality reduction.py ├── 19.3.1 Pengenalan DataFrame dan SQL Spark.ipynb ├── 19.3.2 Data Preprocessing di Spark.ipynb ├── 19.3.3 Regresi di Spark.ipynb ├── 19.3.4 Klasifikasi di Spark.ipynb ├── 19.3.5 Sentiment Analysis di Spark.ipynb ├── 19.3.6 Klastering (mengelompokkan data) di Spark.ipynb ├── 19.3.7 Sistem Rekomender di Spark.ipynb ├── 3.4 Transformasi_Data.py ├── 5.3.1 K-means Klastering.py ├── 5.3.3 EM_Clustering.cpp ├── 5.3.4 Spectral Clustering.py ├── 5.4 Hieracical Clustering.py ├── 6.3 LDA 2 Kelas.py ├── 7 k-Nearest Neigbors.py ├── 8 Decision Tree.py ├── 9 Naive Bayes.py └── README.md └── edisi2 ├── 10.2.2.1 Sigle Perceptron Koding Sendiri.py ├── 10.2.4 Single Perceptron Keras.py ├── 10.5.1 Multi Layer Perceptron.py ├── 10.5.2 LeNet-5.py ├── 10.5.2 Menggunakan Model yang telah ditraining.py ├── 11 SVM.py ├── 13.1 Regresi Linear Sederhana.py ├── 13.3 Regresi Linear & Polinomial.py ├── 13.4 Regresi dg regularisasi.py ├── 13.5 Regresi Logistik.py ├── 14.4 SVR.py ├── 15.2 Kernel k-Means.py ├── 17.2 PCA.py ├── 17.3 t-SNE.py ├── 17.4 LDA untuk dimentionality reduction.py ├── 19.3.1 Pengenalan DataFrame dan SQL Spark.ipynb ├── 19.3.2 Data Preprocessing di Spark.ipynb ├── 19.3.3 Regresi di Spark.ipynb ├── 19.3.4 Klasifikasi di Spark.ipynb ├── 19.3.5 Sentiment Analysis di Spark.ipynb ├── 19.3.6 Klastering (mengelompokkan data) di Spark.ipynb ├── 19.3.7 Sistem Rekomender di Spark.ipynb ├── 3.4 Transformasi_Data.py ├── 5.3.1 K-means Klastering.py ├── 5.3.4 Spectral Clustering.py ├── 5.4 Hieracical Clustering.py ├── 6.3 LDA 2 Kelas.py ├── 7 k-Nearest Neigbors.py ├── 8 Decision Tree.py ├── 9 Naive Bayes.py └── README.md /README.md: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ardianumam/Data-Mining-and-Big-Data-Analytics-Book/HEAD/README.md -------------------------------------------------------------------------------- /dataset/6.3_HalticaCarduorum.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/ardianumam/Data-Mining-and-Big-Data-Analytics-Book/HEAD/dataset/6.3_HalticaCarduorum.csv -------------------------------------------------------------------------------- /dataset/6.3_HalticaOleracea.csv: 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