Before we get started - The information you are about to learn literally took me years to compile and understand. You will learn modeling in hours - This is no small feat, but - with my streamlined approach - you will become very good very fast.
Machine Learning is a difficult concept, but a necessary one that will open you to a new world of possibilities in data analysis. To get up to speed quickly, you will need to learn theory, terminology, core algorithms, and application. This is no small feat. The good news is I've designed a learning path to get you up to speed in hours (not days, months, or years). Here's how we are going to do it.
Then we jump into the individual algorithms with theory and application.
The following section will take about 3-5 hours to complete. When finished, you will be proficient at modeling & machine learning. Complete everything - this will accelerate your learning.
I've combined (1) Page 2 of the Machine Learning Regression Cheat Sheet, (2) StatQuest videos on individual algorithms, and (3) lectures showing you how to APPLY the algorithms. This forms a 3-headed monster of learning - you get the 1000-foot view overview + model theory + model application. Here's the roadmap:
With this roadmap, you will be able to learn the basics of modeling using all of the core algorithms that I use every day. Further, you will understand how they work along with their strengths and weaknesses. This information literally took me years to learn. You will learn modeling in hours.
Have fun, get excited, you are doing great.
-Matt
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