Whenever we are working on ML projects, we have to deal with the high dimensionality of the dataset. There is a very particular term to refer to here i.e. Curse of dimensionality. Although there are many ways to handle this problem one of the solutions can be to change the coordinate systems. This solution is somewhat interesting and new from a data scientist’s perspective. When working on model training we sort of try to remove the linearity of the hypothesis to increase the accuracy of the model. But here in this article, we are trying to understand how to visualize the data easily and can understand it with the help of simple yet innovative maths. Given below is the hypothesis:
So now, it is very evident that the hypothesis is now been converted to a linear equation. And this will make our task easy to analyse how the parameters are affecting each other.