docs: add MNIST magnitude pruning tutorial #33
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Adds a tutorial notebook demonstrating post-training and fine-tuning-based magnitude pruning on an MNIST model, mirroring the existing quantization and palettization tutorials. Also adds the missing Pruning entry to the sidebar toctree.
Aligns the post-training pruning section with the fine-tuning section, which already targets 70% sparsity, instead of the default 50%.
Aligns post-training and fine-tuning sparsity at 50% and ships the notebook with executed cell outputs, showing the actual effect of pruning on accuracy end-to-end.
Removes a local scikit-learn/coremltools version warning baked into the notebook's output; it's environment noise, not tutorial content.
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