Friday Picks 038

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TIL: JupyterLab: Run All Cells

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A Walkthrough of the “Complete Machine Learning and Data Science Zero to Mastery” Course (Part 03)

I'm going through the Udemy course Complete Machine Learning and Data Science: Zero to Mastery and writing down my observations/lecture notes. This is the third part of the blog post series. part 1 part 2 4. The 2 Paths The class aims to be beginner-friendly. Now you have the choice to learn how to program in Python or to continue with the default route. The program contains more than 8 hours of video lectures on Python, which I'll skip.
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A Walkthrough of the “Complete Machine Learning and Data Science Zero to Mastery” Course (Part 02)

I'm going through the Udemy course Complete Machine Learning and Data Science: Zero to Mastery and writing down my observations/lecture notes. This is the second part of the blog post series. Go to part 1 here. 3. Machine Learning and Data Science Framework The course focusses on learning by doing. Instead of learning higher mathematics and over-thinking the process, the instructors show you a framework that encourages a fast feedback loop.
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A Walkthrough of the “Complete Machine Learning and Data Science: Zero to Mastery” Course (Part 01)

I'm going through the Udemy course Complete Machine Learning and Data Science: Zero to Mastery. The course runs under the flag of Andrei Neagoie. Andrei is a popular instructor on Udemy, with almost 200.000 students, and top reviews. For this course, he has paired up with Daniel Bourke, a self-taught Machine Learning Engineer from Australia. In this blog post series, I will jot down my thoughts on the course, and what I've learned.
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