Machine Learning Random Forest with Python from Scratch - Dataset

The video tutorial introduces fundamental machine learning concepts, focusing on data sets, their structure, and components like variables, records, and data points. It explains how data points are represented graphically and discusses the role of labels in data sets. The tutorial aims to simplify these concepts for better understanding.

Describe the difference between training data and testing data.

What does overfitting and underfitting mean in machine learning?