01-intro

1. Introduction to Machine Learning

• 1.1 Introduction to Machine Learning
• 1.2 ML vs Rule-Based Systems
• 1.3 Supervised Machine Learning
• 1.4 CRISP-DM
• 1.5 The Modelling Step (Model Selection Process)
• 1.6 Setting up the Environment
• 1.7 Introduction to NumPy
• 1.8 Linear Algebra Refresher
• 1.9 Introduction to Pandas
• 1.10 Summary
• 1.11 Homework

Community notes

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• Notes by Ayoub Berdeddouch
• Notes from Sebastián Ayala Ruano
• Notes from Alvaro Navas
• Notes from Luis Evaristo Caraballo de la Cruz
• Notes from Jon Areas
• Notes from Hareesh Tummala
• Notes from Peter Ernicke
• Notes from Josiah Adesola
• Notes by Kemal
• Add your notes here