MLZoomcamp-MidTerm-Project

This Repository Contains MLZoomcamp Midterm Project Files.

Dataset

Dataset is taken from https://www.kaggle.com/alakaaay/diabetes-uci-dataset

What is the dataset used for?

Given dataset has been collected using direct questionnaires from the patients of Sylhet Diabetes Hospital in Sylhet, Bangladesh, and approved by a doctor. As we train a model for the project, We are predicting a person going to have diabetes or not. With attributes that the dataset have, we can predict how much a person is going to have diabetes or not with a number between 0 to 1, Actually with multiplying it with 100, It would give the percentage of a person having diabetes in future.

Modifications:

There are some modification to it to explore more options in machine learning

• Binary category was added to gender in order to use One-hot encoding (dummy variable) option in training.

Dataset Content

Content Attribute information:

1. Age: 20-65
2. Sex: Male/Female
3. Polyuria: Yes/No
4. Polydipsia: Yes/No
5. sudden weight loss: Yes/No
6. weakness: Yes/No
7. Polyphagia: Yes/No
8. Genital thrush: Yes/No
9. visual blurring: Yes/No
10. Itching: Yes/No
11. Irritability: Yes/No
12. delayed healing: Yes/No
13. partial paresis: Yes/No
14. muscle stiffness: Yes/No
15. Alopecia: Yes/No
16. Obesity: Yes/No
17. Class: Positive/Negative

Test the project

The project is now deployed on heroku cloud servers and to test it just run the file test.ipnyb. Or you can just send json data into the link: https://diabetes-prediction-server.herokuapp.com/predict and get the results.

To deploy it by yourself

To deploy this project on your local computer or your server just follow the instructions below:

• First Install Docker on your system
• Install pipenv on your system.
• pipenv install requirments.txt
• docker built -t diabetes-prediction .
• docker run -it -p 9696:9696 diabetes-prediction:latest