Beginners guide to get familiar with small scale ML project
What you’ll gonna learn :
- The motivation of this tutorial series
- Ultimate Goal to accomplish
- Brief Introduction of Classification Problem
- What machine learning project will we make?
- The requirement of Tools we will be using
- Getting Started :)
Motivation
Let’s put it this way :
Well, I like to play while solving any particular problem in which there’s an opportunity to make some changes so that we could have an efficient/optimized version of our solution.
Hence, Solving a problem using Machine Learning gives us that opportunity!
So to make a small/medium/large scale machine learning project, there are multiple steps in between to solve to get an optimized solution. However, when I was learning those steps I thought let’s create a tutorial series in which those steps can be explained with implementation separately.