Context

Since the dawn of human life on the face of the earth, the global population has been booming. The population was estimated to be 1 billion people in the year 1800. The figure had increased to a new high of 6 billion humans by the turn of the twentieth century. Day in and day out, 227,000 people are being added to the world; it is projected that by the end of the 21st century, the world's population may exceed 11 billion.

As per reports, as a consequence of the unsustainable increase in population and a lack of access to adequate health care, food, and shelter, the number of genetic disorder ailments have increased. Hereditary illnesses are becoming more common due to a lack of understanding about the need for genetic testing. Often kids die as a result of these illnesses, thus genetic testing during pregnancy is critical.

Task

You are hired as a Machine Learning Engineer from a government agency. You are given a dataset that contains medical information about children who have genetic disorders. Your task is to predict the following:

Genetic disorder
Disorder subclass

Dataset Details

The dataset folder contains the following files:
train.csv: 22083 x 45
test.csv: 9465 x 43
sample_submission.csv: 5 x 3

Check details of each attribute of the dataset here

Source

https://www.hackerearth.com/challenges/competitive/hackerearth-machine-learning-challenge-genetic-testing/

Submission

The participants are encouraged to submit their solution at here