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Gradient Descent for N features using two datasets: Boston House data, Power Plant Data

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Boston House Predictor

This model predicts the house prices for houses in Boston. The dataset used is sklearn's Boston House data. The model has been trained using gradient descent for N features. The accuracy/score of the model according to coefficient of determination is 0.875

Combined Cycle Power Plant (Electrical Output Predictor)

This model predicts the Electrical output required for the power plant on basis of 4 ambient variables. More info about dataset is given in the projects readme.txt file. This model has been trained with gradient descent for N features as well. The accuracy/score of the model according to coefficient of determination is 0.938