Diabetes
- Category: Diabetes Dataset
- Project URL: Creating a machine learning pipeline with Scikit Learn
- View My Jupyter Notebook
About
The diabetes dataset can be used to predict whether a patient has diabetes or not based on certain features such as Number of times pregnant, BMI, age, and more. The dataset can be used for various purposes such as: Demonstrating the basic steps of a machine learning workflow, including data loading, data preprocessing, model training, and model evaluation. Evaluating the performance of various classification models, such as logistic regression, decision trees, random forests, and more, on the diabetes dataset. This dataset can also be said to provide real-world problem with well-defined features and a clear objective.