Ended on 8th Aug'22 03:30 PM (Coordinated Universal Time)
Data Sprint 85 - Water Potability Prediction
Predict if water is safe for human consumption
97
Easy
Challenge Starts
05 Aug 03:30 pm
Registration Ends
08 Aug 03:30 pm
Challenge Ends
08 Aug 03:30 pm
Water is the most significant resource of life, crucial for supporting the life of most existing creatures and human beings. Living organisms need water with enough quality to continue their lives. There are certain limits of pollutions that water species can tolerate. Exceeding these limits affects the existence of these creatures and threatens their lives.
As per the United Nations (UN) report, about 1.5 million people die each year because of contaminated water-driven diseases. In developing countries, it is announced that 80% of health problems are caused by contaminated water. Five million deaths and 2.5 billion illnesses are reported annually. Such a mortality rate is higher than deaths resulting from accidents, crimes, and terrorist attacks.
Access to safe drinking-water is essential to health, a basic human right and a component of effective policy for health protection. This is important as a health and development issue at a national, regional and local level. In some regions, it has been shown that investments in water supply and sanitation can yield a net economic benefit, since the reductions in adverse health effects and health care costs outweigh the costs of undertaking the interventions.Therefore, it is very important to suggest new approaches to analyze and, if possible, to predict the water quality
You are provided with the following dataset which contains information about the substances in water obtained from freshwater sources and with the help of Machine Learning devise a model which predicts whether the water is potable or not