Diabetes Classification using Decision Tree | Python | Machine Learning
In this video, we explore a machine learning technique called decision tree to identify potential diabetes patients. We’ll guide you through a data-driven journey, analyzing key factors such as gender, age, hypertension, heart diseases, smoking history, and blood glucose levels for 100k patients. Discover how these variables intertwine to form a robust prediction model that can revolutionize diabetes diagnosis and management.
Decision Tree documentation from SKlearn:
https://scikit-learn.org/stable/modul...
Source Code on GitHub:
https://github.com/NeuronalLab/Diabet...
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