Clustering validation with ROC Curves

calculate ROC curve and find threshold for given accuracy

A simple neural network with backpropagation used to recognize ASCII coded characters

Implementation of some classification and clustering methods

😈😇🗨️ Developed multiple sentiment classifiers, experimenting with the models (logistic regression, Neural nets - RNN,LSTM,GRU) and the embedding for the Twitter dataset

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The aim of this paper is the analysis of which are the characteristics of an individual that most accurately predict the capability of being a solvable creditor. We used three different classification techniques, namely: logistic regression, k-nearest neighbors and support vector machines. This dataset was taken from a Taiwanese bank facing the credit card crisis of 2006 (http://archive.ics.uci.edu/ml/datasets/default+of+credit+card+clients)

Classification and clustering in dataset of news articles.