Home AI Courses Cervical Cancer Risk Prediction Using ML

Cervical Cancer Risk Prediction Using ML

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The course outlines the learning objectives for understanding XGBoost algorithm theory, performing exploratory data analysis, and implementing XGBoost classifier models using Scikit-Learn.

Key AI Functions:Data Analysis,Machine Learning,Artificial Intelligence(AI),classification

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Description for Cervical Cancer Risk Prediction Using ML

Comprehend the theory and intuition that underlie the XGBoost algorithm.

Conduct an exploratory data analysis

Utilize Scikit-Learn to create, train, and assess the XG-Boost classifier model.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by Beginner

Duration: 2 hours

Schedule: Flexible

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