How to reinforce concepts learned in Coursera MLS1?

Are there recommended practice projects I can do after completing MLS course 1?

I have completed the work from the first machine learning specialization course and I’ve taken notes/done the labs, but I do not feel a strong foundation yet. Something guided, but still requiring me to actually write the code and express my understanding of the concepts would be great I think.

I would recommend covering the book “Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow” to gain confidence

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