Have you consider dataquest.io ? I m thinking on subscribing there, the learning path since well balanced between theorical and practical knowledge, plus there are some pet projects initiaves. Source: about 1 year ago

I did a lot of planning, reporting and optimizations based on data when I was in digital media, so I've been applying to data focused roles. In my free time, I've also been learning Data Science via dataquest.io, hoping to take my analysis to the next level, learn new skill sets, and keep coding. Source: over 1 year ago

I recommend dataquest.io. It's an intuitive way to learn the fundamentals if you'd rather not study in a more formal manner. Source: over 1 year ago

Does it need to be a postgrad degree? If you want more hands on you might be better using Dataquest. Source: about 2 years ago

I am using Dataquest to learn Python for Data Science there. I also got a book from O'Riley called Data Science Handbook and the Automating the Boring Stuff with Python book. SQL is good to know and comes in handy. Source: about 2 years ago

It is doable. However the main focus of MLFlow is in experiment tracking. I would suggest for you to look into another monitoring tools such evidentlyai . You can track more things than performance (e.g.data drift). Which may be helpful in a production setting. Source: almost 2 years ago

Evidently is an open-source Python library that analyzes and monitors machine learning models. It generates interactive reports based on Panda DataFrames and CSV files for troubleshooting models and checking data integrity. These reports show model health, data drift, target drift, data integrity, feature analysis, and performance by segment. - Source: dev.to / over 2 years ago