PDF / GUIDED BOOK / PREVIEW
Python for AI & ML
Understand the data. Train carefully. Evaluate honestly. Worked examples, guided exercises and explained solutions.
64 pages · 20 lessons
What’s inside
- Define the problem first
- Train, validation and test
- Linear regression
- Metrics that match mistakes
- Text features and similarity
- 40 runnable examples and solutions in a companion ZIP
Preview the actual first page here, or open the full searchable PDF to browse every lesson.
Open full PDF ↗Practise every lesson with 40 standalone Python files, setup instructions and a text edition of the lessons.
Download this book’s practice kit (ZIP) ↓Download PDF ↓