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.
- Clone the repo
- Set up the environment. Pip install tensorflow, tensorflow.keras, sklearn, pandas, numpy, matplotlib, and seaborn.
- Start explorign the Jupyter notebooks
MIT LIcense