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WaterPotabilityDeepLearning

This project uses a Feedforward Neural Network (FNN) to predict whether a given water sample is safe to drink. The goal is to build a model that’s highly precise, reducing the chance of incorrectly labeling unsafe water as potable — a critical concern for health and safety.

How to Run It

  1. Clone the repo
  2. Set up the environment. Pip install tensorflow, tensorflow.keras, sklearn, pandas, numpy, matplotlib, and seaborn.
  3. Start explorign the Jupyter notebooks

License

MIT LIcense

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