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.
Importing Libraries
Uploading the data
Data Cleaning
EDA
Feature Engineering
Model Creation
-WQI FC
-WQI Oxygen
-WQI pH
-WQI TSS (total suspended sediment)
-WQI Temp (temperature)
-WQI TPN (nitrogen)
-WQI TP (phosphorus)
-WQI Turb (turbidit

