Before learning about this concept, I used to believe that the best data scientists till date might be using some techniques, algorithms or any kind of labs which leads them to better prediction. But when I started learning the things, I perceived that this guys are not using any rocket science kind of things. Slowly, I realized that whatever techniques or concepts you use, without Feature Selection you won’t make the right choices for your prediction. Wrong choices leads to lots of garbage i.e. noise.