courseraАнализ данных

Cervical Cancer Risk Prediction Using Machine Learning

Курс от Coursera

Начальный≈ 1.9 чАнглийский

О курсе

In this hands-on project, we will build and train an XG-Boost classifier to predict whether a person has a risk of having cervical cancer. Cervical cancer kills about 4,000 women in the U.S. and about 300,000 women worldwide. Data has been obtained from 858 patients and include features such as number of pregnancies, smoking habits, Sexually Transmitted Disease (STD), demographics, and historic medical records.

Навыки, которые вы освоите

Classification Algorithms Data Analysis Applied Machine Learning Model Evaluation Risk Analysis Predictive Modeling Model Training Data Preprocessing Machine Learning Data Import/Export Scikit Learn (Machine Learning Library)Exploratory Data Analysis Data Visualization Software

Программа курса

1 модулей · 4 учебных материалов

01 Cervical Cancer Risk Prediction Using Machine Learning4 материалов

Cervical Cancer Risk Prediction Using Machine Learning

Project-based Course OverviewЧтение Cervical Cancer Risk Prediction Using Machine LearningЛабораторная Quiz: Assess your knowledgeЗадание

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Dr. Ryan Ahmed

Professor & AI Expert (1M+ Students)