Too Long; Didn't Read
When we have a dataset containing a few hundred or fewer data rows, we must keep some part of the data for testing purposes. Without data, machine learning is just the machine, and learning is stripped from the title. Testing becomes an important part of machine learning and in machine learning since we are working with data so we must have some data also. We will work with the California Housing Dataset from [Kaggle] and then make the split. We can do the splitting in two ways: manual by choosing the ranges of indexes and manual by using the indexing tool.