In most, if not all, studies we collect data to obtain information about an area of research in which we have an interest. For example, we might want to know the level of dental caries in our area. In ...

Data analysis is a fundamental process in any project. However, data can be lumped into different types, with categorical and ...

Data clustering is the process of grouping data items together so that similar items are in the same group/cluster. For strictly numeric data, the k-means clustering technique is relatively simple, ...

A topic that's often very confusing for beginners when using neural networks is data normalization and encoding. Because neural networks work internally with numeric data, binary data (such as sex, ...

In an era where data drives decision-making, renowned data scientist Akintunde Agbonde has provided valuable insights into the fundamental principles of data, its types, and its diverse applications ...

Data Interpretation is an important part of the Quantitative Aptitude section in many competitive exams. It tests the ability to read, understand, and draw conclusions from data presented in the form ...