After having merged and roughly cleaned my reference data, I was eager to start annotating.
After I had narrowed down the topic of my first machine learning project to building a movie recommendation algorithm, I quickly found some movie data from the IMDB database that I could use. That way, I could basically skip the whole step of learning how to use an API properly and get the data myself (haha! I thought. Read on).
After identifying the topic of my first ML project, I needed to outline my business problem. Following what I had learned in online courses and YouTube videos, I went through these 5 steps.
Once the initial motivation has worn off, it is hard to stay focused. In the end, who would blame you if you just stopped? The nice thing about the headstart into a new topic is the immediate reward in the form of new knowledge, understanding formerly complicated looking things, and being able to brag about starting a new thing on the next party. After a while, everything is back to normal. Nobody will ask anymore and you are left alone with your motivation.