When working on a machine learning (ML) project, one of the most important steps is understanding the dataset. But here’s something we often overlook: not all data has the same level of importance. The context of the problem plays a massive role in determining which parts of the data

In the realm of data analysis, understanding the relationships between variables is crucial. One of the most powerful tools for uncovering these relationships is regression analysis. While I previously explored the fundamentals of regression and linear regression, this blog post delves deeper into multiple linear regression. This technique allows us

When dealing with data in the real world, you may encounter some variables (features) that have some relationships between them. These relationships may be linear or nonlinear. So, regression analysis is a technique used to find/model relationships between variables. For example, How do students' marks on the statistics