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WATER POTABILITY PREDICTOR

Overview:

This project is dedicated to the development of an advanced machine learning model focused on accurately predicting water potability. At its core, the predictive model leverages the capabilities of an Artificial Neural Network (ANN) to achieve precise and reliable outcomes.


Technologies Used:

Python and its modules namely TensorFlow, Scikit-learn.

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