In this session, you’ll learn how to create clusters on the basis of K-means clustering algorithm in Python. Before that, you need to understand the dataset that we’ll be using for this demonstration. You can download the data set for the case study from this link here.
Also, you can get the final analysis python notebook from the link given below.
Let’s hear from Prof. Dinesh as he explains the dataset to us.
Now let’s observe how to understand the data using Python.
Since you’d be doing a pretty huge analysis it is always a good idea to write the steps first.
Now that you’ve understood what to do with the dataset, it’s always a good idea to start with cleaning the data first.
In the next segment, we’ll start with the data preparation part.
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