Midterm

Members of the group:

1. Feras Rafeh
2. Bruna Santos
3. Iranel González

We are doing a modeling project using logistic regression that predicts diabetes among patients.

Dataset Info:

• Source: Diabetes Dataset
• Number of rows: 100,000
• Number of features: 9

Project Planning:

Day 1

• EDA

Day 2

• Data Cleaning:

1. Remove typos
2. Correct datatypes
3. Replace or Drop NaN's

Day 3

• Data Transformation:

1. Split data into numerical and categorical
2. Scale Numerical Features
3. Encode Categorical Features

Day 4

• Data Modelling

1. Create and train the model
2. Test the model