├── Chapter02 ├── Boosting with GBM.r ├── Random Forest.r ├── WA_Fn-UseC_-HR-Employee-Attrition.csv ├── chapter2 bagging.r ├── chapter2 knn.r ├── production_model.rds └── stackingensemble.r ├── Chapter03 ├── ITCF.R ├── UBCF.R ├── hyrbid.R └── jester5k-apriori.R ├── Chapter04 ├── Sentiment Analysis Dataset.csv ├── Sentiment Analysis Dataset_ft.txt ├── bow_sentimentanaysis_preprocessing.R ├── fasttext.R ├── fasttext_preprocessing.R ├── fasttext_result.txt ├── glove.R ├── softmaxreg_preprocessed.R ├── test.ft.txt ├── test_nolabel.ft.txt └── train.ft.txt ├── Chapter05 ├── Wholesale_customers_ data.csv ├── agnes.R ├── dbscan.R ├── diana.R ├── hierachical clustering.R ├── hopkins_statistic.R └── kmeans.R ├── Chapter06 ├── Inception │ ├── Inception_BN-symbol.json │ ├── Readme.txt │ ├── mean_224.nd │ └── synset.txt ├── MNIST │ ├── t10k-images-idx3-ubyte │ ├── t10k-labels-idx1-ubyte │ ├── train-images-idx3-ubyte.gz │ └── train-labels-idx1-ubyte ├── image1.jpeg ├── image2.jpeg ├── image3.jpeg ├── inception.R ├── lenet.R ├── lenet_ReLu.R ├── loading - MNIST.R ├── mnist.R ├── mnist._dropouts.R └── mnist_different_arch.R ├── Chapter07 ├── Must Read Note on Dataset.txt └── h2o_creditcard_fraud.R ├── Chapter08 └── character LSTM.R ├── Chapter09 └── multi-arm bandit.R ├── LICENSE └── README.md /Chapter02/Boosting with GBM.r: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/R-Machine-Learning-Projects/HEAD/Chapter02/Boosting with GBM.r -------------------------------------------------------------------------------- /Chapter02/Random Forest.r: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/PacktPublishing/R-Machine-Learning-Projects/HEAD/Chapter02/Random Forest.r -------------------------------------------------------------------------------- /Chapter02/WA_Fn-UseC_-HR-Employee-Attrition.csv: 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