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Diabetes Machine Learning Pipeline

This project creates a machine learning (ML) pipeline for predicting diabetes. It includes essential steps such as data preprocessing, model training, and model evaluation.

Features

  • Loads and preprocesses the diabetes dataset.
  • Trains and evaluates various machine learning models.
  • Selects and saves the best model.

Technology Stack

  • Python
  • Machine Learning Libraries: Scikit-learn, Pandas, Numpy

Installation

To install the required libraries for running the project, you can use the following command:

pip install -r requirements.txt

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diabetes_ML_pipeline

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