Water Quality : Drinking water potability

• Tech Stack: Python, Sklearn, Tensorflow, Pandas, Numpy, Streamlit, heroku cloud, ibm cloud
• Website URL: Link
• Github URL: Project Link

Contaminated water and poor sanitation are linked to transmission of diseases such as cholera, diarrhoea, dysentery, hepatitis A, typhoid, and polio. Absent, inadequate, or inappropriately managed water and sanitation services expose individuals to preventable health risks. This is particularly the case in health care facilities where both patients and staff are placed at additional risk of infection and disease when water, sanitation, and hygiene services are lacking. Globally, 15% of patients develop an infection during a hospital stay, with the proportion much greater in low-income countries.

So, I took some inspiration from this to use this Water Quality dataset to understand what consitutes to safe, Potable water and apply machine learning to it to distinguish between Potable and Non-Potable water.