Study guides, Class notes & Summaries

PyTorch and KNN Last document update:   ago

PyTorch for Burn and Not Burn Do these problems qualify or suitable for deep learning? why or why not? and How does Pytorch compares with KNN for Burn dataset? Include differences you can think of!

KNN Classifier Last document update:   ago

Problem: A healthcare facility (aka hospital) brought in a new research physician who specializes in treating burn victims. This physician has been tasked with running the hospital’s telemedicine division and is interested in using machine learning to triage patients who schedule appointments with the telemedicine service. As part of the triage process, patients are instructed to send in photographs of their skin, so that the most in-need patients can be treated first.

Linear Regression Last document update:   ago

Linear Regression Examine the suitability of polynomial regression in predicting progression of diabetes using features: BMI, DiabetesPedigreeFunction, and Age. The outcome is a binary result (1: diabetes, 0: no diabetes) 2. Clean the data: Replace the missing values with average values, and remove unecessary columns 3. Linear Regression 4. Heatmap Analysis 5. Logistic Regression