A machine learning lung cancer risk prediction model outperformed logistic regression, supporting improved risk assessment and more efficient radiology based lung cancer screening.

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 ...

Reverse logistics is one of the trickiest operations a retailer will undertake. Getting returns from a customer’s home back to the warehouse without losing product along the way or allowing ...

We dig into this influential annual report that offers a snapshot of the American economy via the lens of the logistics sector and its role in overall supply chains. The report concludes… ...

Use modern machine learning tools and python libraries. Explain how to deal with linearly-inseparable data. Compare logistic regression’s strengths and weaknesses. Explain what decision tree is & how ...