Artificial Intelligence with Python

Segmenting the market based on shopping patterns

Let's see how to apply unsupervised learning techniques to segment the market based on customer shopping habits. You have been provided with a file named sales.csv. This file contains the sales details of a variety of tops from a number of retail clothing stores. Our goal is to identify the patterns and segment the market based on the number of units sold in these stores.

Create a new Python file and import the following packages:

import csv 
 
import numpy as np 
import matplotlib.pyplot as plt 
from sklearn.cluster import MeanShift, estimate_bandwidth 

Load the data from the input file. Since it's a csv file, we can use the csv reader in python to read the data from this file and convert it into a NumPy ...