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A machine learning model bests traditional methods for predicting cirrhosis mortality among hospitalized patients.

This study examined whether machine learning could predict the risk and contributing factors of no-shows and late ...

Specialization: Climate Change Anomalies Instructor: Osita Onyejekwe Prior knowledge needed: Intro to R programming View on Coursera Learning Outcomes Analyze and differentiate between various machine ...

The classification boundary is shown by the black line. Logistic Regression attains an accuracy of 0.969 and a F1-score of 0.628.

This requires basic machine learning literacy — what kinds of problems can machine learning solve, and how to talk about those problems with data scientists. Linear regression and feature ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...