8000 Moved directory. Simple classifier. · kashenfelter/practice-python@060dbc8 · GitHub
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jwashamjwasham
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Moved directory. Simple classifier.
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  • most_common_words.py
  • statistics.py

    • 7 files changed

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    -0
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    ‎data-science/books.py renamed to ‎machine-learning/books.py

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    ‎data-science/egrep.py renamed to ‎machine-learning/egrep.py

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    ‎data-science/exp.py renamed to ‎machine-learning/exp.py

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    ‎machine-learning/fruit-classify.py

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    from sklearn import tree
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    TEXTURE_BUMPY = 0
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    TEXTURE_SMOOTH = 1
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    LABEL_APPLE = 0
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    LABEL_ORANGE = 1
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    LABELS = {
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    LABEL_APPLE: 'apple',
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    LABEL_ORANGE: 'orange',
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    }
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    def classify(to_classify):
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    features = [
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    [90, TEXTURE_BUMPY],
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    [140, TEXTURE_SMOOTH],
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    [130, TEXTURE_SMOOTH],
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    [150, TEXTURE_BUMPY],
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    [170, TEXTURE_BUMPY],
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    ]
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    labels = [
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    LABEL_ORANGE,
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    LABEL_APPLE,
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    LABEL_APPLE,
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    LABEL_ORANGE,
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    LABEL_ORANGE
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    ]
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    clf = tree.DecisionTreeClassifier()
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    clf = clf.fit(features, labels)
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    return clf.predict(to_classify)
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    def main():
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    to_classify = [
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    [145, TEXTURE_BUMPY],
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    [120, TEXTURE_SMOOTH],
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    [100, TEXTURE_BUMPY],
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    ]
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    decisions = classify(to_classify)
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    for decision in decisions:
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    print("It's a(n):", LABELS[decision])
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    if __name__ == '__main__':
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    main()

    ‎data-science/line-count.py renamed to ‎machine-learning/line-count.py

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    ‎data-science/most_common_words.py renamed to ‎machine-learning/most_common_words.py

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    ‎data-science/statistics.py renamed to ‎machine-learning/statistics.py

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