Machine learning workflow

topic category · 4 notes filed here

The plain mechanics either side of the model: preparing columns so they compare fairly, reading the result honestly, and picking the lighter tool when it fits.

Notes in this topic

1. Feature scaling before fitting
2. Reading a confusion matrix
3. Overfitting and regularisation
4. Choosing a Python ML workflow

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