Python Idle
You've reached the frontier of machine learning — neural networks. These models loosely mimic the brain, using layers of interconnected nodes to learn patterns. Your first challenge: use scikit-learn's MLPClassifier to classify iris flowers by species. Load the data, scale the features, build a small network, and watch it learn. This is where the magic begins.
~15 minscenario150 rows
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Goals: 3 tests
should create an MLPClassifier model
should achieve accuracy above 0.85
model should have a predict method (fitted)
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