Supervised learning altorithms are trained using labeled examples, such as an input where the desire output is known. Data Acquisition -> Data Cleaning : clean and format (using Pandas) -> Test Data / Training Data -> Model Training & Building -> Model Testing : run the test data, compare, adjust model parameters -> Model Deployment Data often splits into 3 sets instead of 2 Training Data : used to train model parameters Validation Data : used to determine what model hyperparameters to adjust Te...
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accuracy
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classification_matrics
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confusion_matrix
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F1score
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machine_learning
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precision
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recall
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supervised
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