A key challenge to marketing campaigns is to target the customers that are likely to buy, and not waste time and money on those who are less likely to buy. On Kaggle, there is a dataset from a Portugese bank’s marketing campaign. See Bank marketing campaigns dataset | […]

The core aim when working with the Concepts is to find the key dimensions in our argumentation or view of the object/phenomenon we are relating to. We want to avoid addressing something that has a difference, without making a distinction. If apples and oranges are different, and that […]

Find a data set you find interesting, and perform cluster analysis on it. The data should have at least two variables with good variation. Perform k-means clustering using R, Python, or an online tool. Some online tools are also great at explaining and visualizing what happens. Try https://datatab.net/statistics-calculator/cluster […]

Machine Learning is a term used for a number of different techniques where hyper-dimensional datasets can be used without prior conceptualization and definition of the relationships between variables. The “machine” will “learn” from the data. As a result, a ML-model can be very complex and thus treated as […]