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homemade-machine-learning
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A
.travis.yml
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homemade\anomaly_detection\__init__.py
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homemade\anomaly_detection\gaussian_anomaly_detection.py
10 4 4
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homemade\k_means\__init__.py
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homemade\k_means\k_means.py
9 4 1
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homemade\linear_regression\__init__.py
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homemade\linear_regression\linear_regression.py
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homemade\logistic_regression\__init__.py
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homemade\logistic_regression\logistic_regression.py
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homemade\neural_network\__init__.py
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homemade\neural_network\multilayer_perceptron.py
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homemade\utils\features\__init__.py
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homemade\utils\features\generate_polynomials.py
10 1 -
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homemade\utils\features\generate_sinusoids.py
2 1 -
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homemade\utils\features\normalize.py
2 5 -
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homemade\utils\features\prepare_for_training.py
4 4 -
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homemade\utils\hypothesis\__init__.py
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homemade\utils\hypothesis\sigmoid.py
1 2 -
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homemade\utils\hypothesis\sigmoid_gradient.py
1 2 -