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Code snippets from 2015 book by Sebastian Raschka - "Python Machine Learning"

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movieclassifier
movieclassifier
 
 
README.md
README.md
 
 
__init__.py
__init__.py
 
 
ch10-linear-regression.py
ch10-linear-regression.py
 
 
ch10-liner_reg-decisionTrees.py
ch10-liner_reg-decisionTrees.py
 
 
ch10-liner_reg-ploynomial.py
ch10-liner_reg-ploynomial.py
 
 
ch10-scikit-linear-regression.py
ch10-scikit-linear-regression.py
 
 
ch10-scikit-linear_reg-RANSAC.py
ch10-scikit-linear_reg-RANSAC.py
 
 
ch10-scikit-linear_reg-model_eval.py
ch10-scikit-linear_reg-model_eval.py
 
 
ch11-clustering-DBSCAN.py
ch11-clustering-DBSCAN.py
 
 
ch11-clustering-agglomerative.py
ch11-clustering-agglomerative.py
 
 
ch11-clustering-kmeans-analysis.py
ch11-clustering-kmeans-analysis.py
 
 
ch11-clustering-kmeans.py
ch11-clustering-kmeans.py
 
 
ch12-NeuralNet-MLP.py
ch12-NeuralNet-MLP.py
 
 
ch12-import-MNIST.py
ch12-import-MNIST.py
 
 
ch13-keras.py
ch13-keras.py
 
 
ch13-theano.py
ch13-theano.py
 
 
ch2-Adaline-BatchGD.py
ch2-Adaline-BatchGD.py
 
 
ch2-Adaline-stochasticGD.py
ch2-Adaline-stochasticGD.py
 
 
ch2-perceptron.py
ch2-perceptron.py
 
 
ch3-SVM-Kernel-on-Iris.py
ch3-SVM-Kernel-on-Iris.py
 
 
ch3-SVM-Kernel.py
ch3-SVM-Kernel.py
 
 
ch3-SVM.py
ch3-SVM.py
 
 
ch3-decisionTree-RandomForests.py
ch3-decisionTree-RandomForests.py
 
 
ch3-decisionTrees-InformationGain.py
ch3-decisionTrees-InformationGain.py
 
 
ch3-decisionTrees.py
ch3-decisionTrees.py
 
 
ch3-k-nearest-neighbors.py
ch3-k-nearest-neighbors.py
 
 
ch3-logisticRegression.py
ch3-logisticRegression.py
 
 
ch3-logisticregression-cost.py
ch3-logisticregression-cost.py
 
 
ch3-scikit-learn-perceptron.py
ch3-scikit-learn-perceptron.py
 
 
ch3-sigmoid.py
ch3-sigmoid.py
 
 
ch4-categoricalData.py
ch4-categoricalData.py
 
 
ch4-featureSelection-randomForest.py
ch4-featureSelection-randomForest.py
 
 
ch4-imputation.py
ch4-imputation.py
 
 
ch4-missingData.py
ch4-missingData.py
 
 
ch4-partitioningData.py
ch4-partitioningData.py
 
 
ch4-seq-feature-selection.py
ch4-seq-feature-selection.py
 
 
ch5-LDA-scikit.py
ch5-LDA-scikit.py
 
 
ch5-PCA-Kernel-ex1.py
ch5-PCA-Kernel-ex1.py
 
 
ch5-PCA-Kernel-ex2.py
ch5-PCA-Kernel-ex2.py
 
 
ch5-PCA-Kernel-newRBF.py
ch5-PCA-Kernel-newRBF.py
 
 
ch5-PCA-Kernel-scikit.py
ch5-PCA-Kernel-scikit.py
 
 
ch5-PCA-scikit.py
ch5-PCA-scikit.py
 
 
ch5-PCA1.py
ch5-PCA1.py
 
 
ch6-F1-score.py
ch6-F1-score.py
 
 
ch6-Kfold-CrossValidation.py
ch6-Kfold-CrossValidation.py
 
 
ch6-ModelSelect-ParamTune-Nested-Kfold-CrossValidation.py
ch6-ModelSelect-ParamTune-Nested-Kfold-CrossValidation.py
 
 
ch6-ROC-curve.py
ch6-ROC-curve.py
 
 
ch6-confusion-matrix.py
ch6-confusion-matrix.py
 
 
ch6-hyperparameterTuning-gridSearch.py
ch6-hyperparameterTuning-gridSearch.py
 
 
ch6-learningCurve.py
ch6-learningCurve.py
 
 
ch6-pipeline.py
ch6-pipeline.py
 
 
ch6-scikit-Kfold-CrossValidation.py
ch6-scikit-Kfold-CrossValidation.py
 
 
ch6-validationCurve.py
ch6-validationCurve.py
 
 
ch7-AdaBoost.py
ch7-AdaBoost.py
 
 
ch7-BaggingClassifiers.py
ch7-BaggingClassifiers.py
 
 
ch7-majorityVote-Classifier.py
ch7-majorityVote-Classifier.py
 
 
ch8-Online-Sentiment-Analysis.py
ch8-Online-Sentiment-Analysis.py
 
 
ch8-Sentiment-Analysis.py
ch8-Sentiment-Analysis.py
 
 
ch8-bagOfWords.py
ch8-bagOfWords.py
 
 
ch9-pickle-model.py
ch9-pickle-model.py
 
 
neuralnet.py
neuralnet.py
 
 

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Code snippets from 2015 book by Sebastian Raschka - "Python Machine Learning"

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