Skip to content

Latest commit

 

History

History
13 lines (8 loc) · 1.46 KB

README.md

File metadata and controls

13 lines (8 loc) · 1.46 KB

Project 2
Diabetes Patients

MeriSKILL

Data Analytics Internship

Objective: Diagnostically predict whether a patient has diabetes based on certain diagnostic measurements included in the dataset.

LinkedIn PostNotebook FileDataset
Diabetes-Patients.mp4

Conclusion: Feature importance analysis reveals that [Glucose] are the most influential in predicting diabetes. And the best model achieved an accuracy of [75.97%], is [RandomForestClassifier].