Data Science
Predict the onset of diabetes based on diagnostic data
Want to design a machine learning model that can save lives? Here is your chance with this amazing menternship from the field health analytics
Certified by
Role
Data Scientist
Industry
Healthcare Diagnostics
No. of Subscribers
16
Level
Advanced
Time Commitment
Submit First Draft in 30 days
Duration
60 days
Tools you’ll learn
Here’s What You Work On
About the Company
St James School of Medicine is an international medical school with two campuses in the Caribbean islands. Practicing medicine is much more than textbook knowledge and St James understands that very well. They instill the ability to professionally deal with the ethical, legal and economic realities of 21st century medicine, in their students. They believe compassion is as important as competency in practicing medicine. They are one of the elite organisations who have been accredited by both the principal accrediting organisations in the Caribbean.
Explore
the following work techniques
Python
Supervised Machine Learning
Feature Engineering
Bridging the gap
Did you know 72.9 million people in India had diabetes as of 2017? Alarming as the number is, it is expected to be 134 million by 2045. Early and accurate diagnosis goes a long way in preserving the health and quality of life of the patient. This is where machine learning can be of help. Machine learning has been applied to many aspects of the medical field. Using it to predict diabetes based on a person’s regular physical examination data, can enable patients and doctors to better deal with this chronic illness.
Apply
the following skills
Data Analysis
Data preparation
Hypothesis testing
Model formulation
Expected output
In this menternship you will build a classification model which will predict the onset of diabetes with high accuracy.
Create
the following deliverables
Data preparation of the given dataset
A classification model to predict the onset of diabetes based on the Pima Indians Diabetes Database
What you’ll need before starting
Python, Supervised Machine Learning