Files in this repository demonstrates a basic Machine Learning examples using scikit-learn and Tensorflow Library
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DecisionTree - decisiontree.py
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Supervised Learning by making use of Decision Tree Classifier and its fit algorithm to predict whether the given features belong to Apple or Orange
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Avoid using unnecessary feature - goodfeature.py
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Unnecessary features such as corelated features must be avoided because it hurts the accuracy of the algorithm
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Learning is to adjust the parameters of the model using training data pipeline.py
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Using the straight line equation we adjust the parameter slope and y intercept to adjust the model using training data.