Exercises 9.1, 9.2, 9.3, 9.5, 9.6, 9.7, 9.8 - FPP3 Chapter 9

This codebase assignment demonstrates how to evaluate a binary classification model in R. I use the built-in iris dataset to classify flowers as virginica (positive class, 1) or versicolor (negative class, 0). I use logistic regression to estimate probabilities from sepal length and sepal width. I then evaluate out-of-sample predictions using a confusion matrix and five classification metrics.

An interactive look at Boston’s Airbnb market, exploring the spatial distribution of listings, host activity, and availability across different room types. The dashboard combines mapping and data visualization to highlight patterns in the city’s short-term rental landscape.

11.118 Lab 5

Hyndman & Athanasopoulos Chapter 9 Exercises 9.1, 9.2, 9.3, 9.5, 9.6, 9.7 and 9.8