Clustering validation with ROC Curves

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

calculate ROC curve and find threshold for given accuracy

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

Classification and clustering in dataset of news articles.

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 …