Machine Learning Random Forest with Python from Scratch - Outliers

The video tutorial covers the basics of data, datasets, and the concept of outliers. It explains how outliers can occur due to human error or faulty equipment and discusses methods to detect and handle them using visualization tools. The tutorial also introduces the upcoming topic of machine learning models, emphasizing the importance of data preprocessing and visualization in identifying outliers.

Discuss the importance of removing outliers from a data set.

What will be the focus of the next lecture according to the text?