The main objective of this project is to find an optimal model for a problem for which historical data is given in a dataset. This is an end to end project that addresses optimality in hyper parameter selection and model parameter selection using different models.
Title: Predicting if Water Is Safe for Consumption using DL Techniques
The research aims to identify which variables affect the portability of a water source using deep learning models
To build and utilize various type of deep learning models for predicting water potability To identify the features that have an effect on water potability To find out the most relevant deep learning model for the business use case