Machine Learning Random Forest with Python from Scratch - Reading and Manipulating Dataset

The video tutorial covers importing a data set into a pandas data frame, exploring methods like head, tail, and describe, filtering data based on conditions, calculating statistics such as mean and sum, and handling missing data by identifying null values. The tutorial also hints at upcoming lessons on data preprocessing and visualization.

What is the purpose of the head method in pandas?

How can you find the average fare of passengers in different classes?

What methods can be used to handle missing values in a dataset?

Describe the steps involved in data preprocessing as mentioned in the lecture.