# Hands-On Machine Learning vs An Introduction to Statistical Learning (Python edition)

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| | Hands-On Machine Learning | An Introduction to Statistical Learning (Python edition) |
|---|---|---|
| Score | 87.0 | 90.0 |
| Rank | #6 | #4 |
| Price | Paid | Free |
| Best for | Building models with scikit-learn and TensorFlow | Statistical learning for beginners with Python |
| Level | Intermediate | Beginner |
| Free to read online | No | Yes |
| Latest edition | 2022, O'Reilly | 2023, Python edition |
| Math required | Light: basic Python and algebra | Light: basic statistics |

Practical code for classical models and neural networks, built on scikit-learn, Keras and TensorFlow. It is paid with no free text, and it goes less deep into theory than the books above it. The most approachable text here, with Python labs and a free PDF. It stops short of the mathematics in the Murphy and Bishop books, which suits readers starting out.