Hello and welcome to Lean ML. My name is Oliver and I‘m the author of the book Machine Learning for Absolute Beginners.

In this course, I'll teach and reveal to you my personal framework for adding machine learning to your skillset. The whole goal of the course is to take you from absolutely zero, to coding on your own machine learning model from start to finish.

By the end of the course, you'll be able to log in to Kaggle.com, download a free dataset, and lay down 20 or so lines of code to build your own machine learning model using the step-by-step method taught in this course.

My Lean ML method provides you with the minimum effective dose of theory (explained in simple terms), reinforced with practical demonstrations--all without complex math and boring datasets.

Each video is placed in order to guide you through your transformation starting from zero.

Both the coding and datasets start off simple. These easy wins not only help to build up your confidence but also set you up for tackling progressively higher levels of difficulty that will test and strengthen your machine learning muscles.

If you're tried to study machine learning before failed to implement or retain it as a skillset, this is the course for you.

Ok, so let’s get started! 

Lesson Summary

In the book "Machine Learning for Absolute Beginners," author Oliver provides a step-by-step framework to add machine learning to your skillset. The goal of the course is to take you from zero to coding your own machine learning model. By the end of the course, you will be able to download datasets from Kaggle.com and build your own machine learning model with just 20 lines of code. The Lean ML method focuses on providing the minimum effective dose of theory, explained in simple terms, and reinforced with practical demonstrations. The course starts with easy wins to build confidence and gradually increases in difficulty to strengthen your machine learning skills. If you have previously struggled with studying machine learning, this course is designed for you. Let's get started!