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Water-Quality-Prediction-machine-learning-python

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Explainning the project

putting machine learning methods to use to build a prediction of water quality. Using some factors, such as the Ph level, conductivity, hardness, etc., this technique forecasts if the water is fine to consume or not.

Table of Contents

Importing Libraries

Uploading the data

Data Cleaning

EDA

Feature Engineering

Model Creation

Data Collection

-WQI FC

-WQI Oxygen

-WQI pH

-WQI TSS (total suspended sediment)

-WQI Temp (temperature)

-WQI TPN (nitrogen)

-WQI TP (phosphorus)

-WQI Turb (turbidit

methods used for this projects

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predicting if the water is safe to consume with given dataset

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