Water_Quality_Prediction

Objective: Predict water quality using multiple models produced using different methods, and finally compare the results.

List of methods used:

• Convolutional Neural Network
• Image Segmentation
• Gradient Boosting
• Adaboost
• XGBoost
• Radial basis function
• Multilayer perceptron
• Multiple linear regression