<ul><li>The dataset used for this project was sourced from Kaggle, containing drug performance metrics for 37 common conditions.</li><li>The data was loaded using pandas and explored to understand its structure and identify missing values.</li><li>A pipeline was created to automate the training process, integrating the preprocessor and model.</li><li>The Drug Satisfaction Prediction App demonstrates the integration of data science and healthcare, providing real-world solutions and opportunities for further advancements.</li></ul>

A Capstone Journey into Healthcare and Data Science

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