A Walkthrough of the “Complete Machine Learning and Data Science Zero to Mastery” Course (Part 08)

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 eigth part of the blog post series. part 1 part 2 part 3 part 4 part 5 part 6 part 7 TL;DR (A Review of The Complete Course) The program is a praise-worthy introduction to data science and machine learning with Python. The instructors focus on practical skills and convey an enormous topic in a captivating and friendly way.
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A Walkthrough of the “Complete Machine Learning and Data Science Zero to Mastery” Course (Part 07)

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 seventh part of the blog post series. part 1 part 2 part 3 part 4 part 5 part 6 part 8 13. Data Engineering These lectures cover what kind of data we have (structured data, unstructured data, etc.). How can we make the raw data consumable for machine learning libraries?
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A Walkthrough of the “Complete Machine Learning and Data Science Zero to Mastery” Course (Part 06)

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 sixth part of the blog post series. part 1 part 2 part 3 part 4 part 5 part 7 part 8 10. Milestone Project 1 In this project we work through a dataset from start to finish. We use supervised machine learning to gain insight into a classification problem.
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A Walkthrough of the “Complete Machine Learning and Data Science Zero to Mastery” Course (Part 05)

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 fifth part of the blog post series. part 1 part 2 part 3 part 4 part 6 part 7 part 8 9. Scikit-Learn Up until now, we’ve learned how to consume data and make fancy diagrams. The current section finally deals with Machine Learning and teaches you the basics of Scikit-learn.
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A Walkthrough of the “Complete Machine Learning and Data Science Zero to Mastery” Course (Part 04)

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 fourth part of the blog post series. part 1 part 2 part 3 part 5 part 6 part 7 part 8 7. NumPy The section covers an introduction into NumPy. NumPy will covert any data into a series of numbers. NumPy is the backbone of all data-science in Python.
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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 part 4 part 5 part 6 part 7 part 8 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.
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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. part 1 part 3 part 4 part 5 part 6 part 7 part 8 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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