This article introduces how to implement the statistical concepts of survival analysis in R. The Rossi dataset from CarData library is used for this study. The study was an experiment in which financial aid was randomly provided to half the prisoners and the primary purpose was to determine whether financial aid would help released prisoners reduce their time to first arrest following release.

This article uses SVM to perform optical character recognition(OCR) in R.

This article provides a model that uses artificial neural networks to reliably predict concrete strength in construction and provides a list of the input building materials.

A detailed example of forecasting insurance policy using a regression model in R.

This model predicts whether a permit application will be expedited or not depending on its features in R. The results suggest that the model has a prediction accuracy of 86.4 percent when compared to the test data.

This article predicts a patient's blood pressure based on their health indicators and lifestyle in R. Our results indicate that the model explains approximately 21% of the variability in the response. To create a better model, we would need to include more predictors that correlate with the response.

The application of nearest neighbours (K-NN) approach and logistics regression to classification in R programming.

This article used a decision tree and a random forest algorithm to classify loan application approval.

This article contains two alternative algorithms applied to the same dataset. We utilised both the logistic regression model and the K-NN model to evaluate which was best suited to this dataset by comparing model accuracy to test data.

Detecting fraudulent transaction