I have completed the first four courses. Decided to review them before doing the final one. I am trying to build my toolbox – if there is a problem I need to solve, how do I get started.
Andrew has recommended start simple, start with Logistic Regression then buuild from there.
The projects in Course 2 seem to include all the recommended best practices. Seems that might be a good place to start.
Would appreciate any guidance.
Also references to complete solved model projects. I see a few on Coursera. There may be other resources.
That sounds really good and that’s the kind of thing I would do in your situation. Having a clear view of everything you have studied helps a lot in the future when you put it in practice. Of course, everyone has some preferences, but I would recommend you one thing that is not exclusive for deep learning: learn how to use git and start building your “portfolio” of tools and projects. Not only to have everything organized, but to showcase what you have done.