K-means clustering is a type of unsupervised learning, which is used when you have unlabeled data (i.e., data without defined categories or groups). The goal of this algorithm is to find groups in the data, with the number of groups represented by the variable K. The algorithm works iteratively to...

This tutorial will provide a step-by-step guide for fitting an ARIMA model using R. ARIMA models are a popular and flexible class of forecasting model that utilize historical information to make predictions. This type of model is a basic forecasting technique that can be used as a foundation for...

Moving from machine learning to time-series forecasting is a radical change—at least it was for me. As a data scientist, I worked for almost a year developing machine learning models. It was a challenging, yet enriching, experience that gave me a better understanding of...