Python Idle
Beat 95% accuracy on handwritten digit recognition. Whatever it takes. The sklearn digits dataset has 1,797 images of handwritten numbers (0-9), each represented as an 8x8 pixel grid. Your challenge: pick the right algorithm, tune it if you must, and break through the 95% barrier. No external data allowed — just skill.
~10 minbuild challenge
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Goals: 2 tests
should achieve accuracy above 0.95
should have a trained model with .predict method
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