This first lecture is about introducing the library we will use as well as the ML pipeline as a whole.

The content of this introduction lecture is (in order):

1.1 Prerequisites

1.2 Introduction to the ML pipeline

1.3 Feature Engineering

1.4 Feature Selection

1.5 Feature Extraction

1.6 Model Deployment

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