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/modules/generated/sklearn.tree.DecisionTreeClassifier.html

Source Code on GitHub:
https://github.com/NeuronalLab/Diabetes_Prediction_Using_Decision_Tree

#machinelearning #python #datascience #ai #decisiontree #macahinelearningalgorithm #pythonmachinelearningprojectswithsourcecode #sklearn #diabetes #machinelearningtutorialforbeginners #machinelearningbasics #machinelearningfullcourse #machinelearningtraining #machinelearningwithpython

Тэги:

#Data_Science #Machine_Learning #Python

Скачать видео