Here are the 4 steps to learn and Practice Data Analysis / Machine Learning Training Course through self-study:
* Prerequisites. Build a foundation of statistics, programming, and a bit of math.
* Sponge Mode. Immerse yourself in the essential theory behind ML.
* Targeted Practice. Use ML packages to practice the 9 essential topics.
* Machine Learning Projects.
My best advice for getting started in machine learning is broken down into a 5-step process:
Step 1: Adjust the Mindset. Believe you can practice and apply machine learning.
Step 2: Pick a Process. Use a systemic process to work through problems.
Step 3: Pick a Tool.
Step 4: Practice on Data sets.
Step 5: Build a Portfolio.