How to Effectively Plan Your First Machine Learning Project?

Doing projects is the one sure way to get your foot in the door of machine learning and data science. Everyone whose serious about getting into the field is aware of this. Consequently, we've now got several people building projects, putting them in their Github portfolio, and sharing them across their various networks, but many of them aren't resonating. A new standard has been set. The fact you can build a model that predicts something and deploy it using some cloud server is impressive, but most people can do that now.