Introduction
When we talk about data science, we are biased to start with sexy aspects like Artificial Intelligence (AI), Machine Learning (ML), predicting the future, and so on. Like our brain, which tries to simulate the future from past experiences, ML algorithms work and learn from the past, and it’s our job to provide them with the best possible learning experiences.
Did you ever wonder how you could close your eyes right now and experience the rush of that speech you are going to deliver to a broad audience tomorrow?
In the first half of this article, we will look at simple use cases that will help us understand why data transformation is essential and how it can help our classifiers perform better. In the latter half, we will visually understand why performing a log-transformation on the exponential feature will allow us to use linear regression to model it.

#data-exploration #data-visualization #data-preprocessing #data-transformation #matplotlib