Making your first Machine Learning project as beginner can be daunting. To be honest, I was daunted. There are a ton of resources online with different approaches on how to make your first project. But youtube tutorial hell is a real thing. I kept watching tutorials after tutorials, never really finishing any video properly and getting burned out. I never really got close to making my first project or understanding why use decision trees instead of logistic regression.
In this write up I am going to dismistify machine learning for you, make the process a little easier.
If you don't agree with my approach that is totally fine. I think there are a lot of ways to do the same things. People learn, absorb and understand information using different methods and approaches. Some learn better from youtube tutorials, other from bootcamps, documentation or if you are anything like me, you learn by doing.
If you chose to go by this method, you will build an aptitude for machine learning by doing everything on your own.
Note - This write up will help beginners to make their first machine learning project. The only prerequisite that I ask of you is a basic knowledge of coding and python.
