Go gaga over Machine Learning

I often wonder when I see people completing certificates on ML, are these more for showing the world that you know and understand ML or is it really a sense of achieving something! If it is the latter then why pay ? and why need a certificate at all? Let me elaborate on the resources that are free and can do a better job than most paid ML courses: Googles free website to choose videos, docs,tutorials, courses , sample code and Interactive demos -  https://ai.google/education/#?modal_active=none Have you read this? Triskelion one of the leaders on Kaggle explains how he went from a  beginner and finished up as a master with a top 10 finish -  https://mlwave.com/reflecting-back-on-one-year-of-kaggle-contests/  or  https://machinelearningmastery.com/master-kaggle-by-competing-consistently/ Kaggles Learning modules that are amazing  Machine Learning -  https://www.kaggle.com/learn/machine-learning R -  https://www.kaggle.co...

What is a Kernel? Kernels contain both the code that is needed for analysis and the analysis itself! "Kaggle Kernels is a cloud computational environment that enables reproducible and collaborative analysis. Kernels supports scripts in R and Python, Jupyter Notebooks, and RMarkdown reports. Go to the Kernels tab to view all of the publicly shared code on this competition. For more on how to use Kernels to learn data science, visit the Tutorials tab . " There are two types of Kernels on Kaggle: Notebook Scripts Script or notebook depends on what you are trying to achieve, If you were me then start with a notebook and move to a Script!