What is this about?

India is facing the second nationwide wave of Covid-19 pandemic, which has prompted some states to reimpose strict curbs, including partial and complete lockdowns, to tackle the contagion. We present a new, simple prediction model that estimates total Covid-19 cases in the State of Kerala in India .This can be used, among other considerations, to prioritize testing for COVID-19 when testing resources are limited.

Aim

In recent months the sudden spike in the covid-19 cases across the country has become an issue of serious concern. The project aims to predict the status of confirmed , recovered and death of covid-19 patients in the state of kerala. Successful prediction of the above classifiers can help the authorities and civilians prepare for what is to come and effectively combat the situation.

ML Implementatioon

In ML you learn from data, as simple as that. We don’t have to write any custom code specific to the problem. Instead, we feed data to algorithms and it builds its own logic based on the data. We are using a linear regression model available in scikit-learn library for our purpose. Regression models are used to predict a continuous value. Linear regression is a supervised machine learning approach,our model learns from a labeled dataset. The aim of training is to minimise the error between actual and predicted values

Challenges