Udemy – Practical AI and Machine Learning with Model Builder AutoML

In this course, you will get to understand the foundational concepts that underlie the supervised machine-learning process. You will get to understand complex topics such as:

• Exploratory Data Analysis,
• Data Transformation and Feature Scaling,
• Evaluation Metrics, Algorithms, trainers, and models,
• Underfitting and Overfitting,
• Cross-validation, Regularization, and much more

You will see these concepts come alive by doing a practical machine-learning exercise, rather than by looking at presentations. We will be using a non-cloud-based machine-learning tool called Model Builder, inside of Visual Studio. There will be zero coding involved (except for the very last lesson). But even though there is little coding involved, you will still get a very detailed understanding of complex machine-learning concepts.