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Classification of two datasets: 1) bank promotion results into classes Yes and No and 2) Online popularity of articles into classes based on share size. Classifier used: 1) SVM 2) KNN 3) Perception 4) Logistic regression 5) Naive Bayes

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Pattern-Recognition-Project

Using pattern recognition techniques to decide whether a customer is likely to subscribe for a long term deposit using UCI bank dataset

For the svm_train_test branch: Download all the files, put them in one folder and then run the run_py.bat file. Training will commence

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Classification of two datasets: 1) bank promotion results into classes Yes and No and 2) Online popularity of articles into classes based on share size. Classifier used: 1) SVM 2) KNN 3) Perception 4) Logistic regression 5) Naive Bayes

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