Data Science - Data Analyst Portfolio Project #2: Python Customer Segmentation & Clustering

This is a data analysis portfolio project that will allow you to perform customer segmentation on a specific group of mall customers. You will identify the best possible cluster using the KMeans unsupervised machine learning algorithm to find the univariate, bivariate, and multivariate clusters. Once these clusters are identified, summary statistics can be performed on these to identify the best marketing group. Book a one-on-one mentorship call: https://topmate.io/gaelim_holland You can find the dataset here: https://absentdata.com/data-analysis/where-to-find-data/ Get the code here: https://github.com/Gaelim/Mall-Customer-Segmentation/blob/main/Mall%20Clustering%20Project.ipynb #datascience #python #dataanalysis #porfolioproject #kmeans Learn Python and practice online with case studies. Dive into the examples, answer the questions, and create your own solutions. Use the affiliate link below to start practicing! ______________________________________________________________________ Check out Data Camp: https://datacamp.pxf.io/KjO5ba ______________________________________________________________________