GitHub repository: luis-valverde/Identify-Customer-Segments-with-Arvato
Primary language: HTML
Created: 2019-12-25T23:43:52Z
Description: The goal in this project was to build a model to identify segments of the population that form the core customer base for a mail-order sales company in Germany. To accomplish this, I used data preprocessing techniques (remove outliers, re-encode categorical values, feature scaling). Then, applied unsupervised learning techniques such as Principal Component Analysis (PCA) to reduce the dimensionality of the features by a 60.94%. Also, performed k-means clustering and used the elbow method to determine the optimal number of clusters. Finally, compared the proportion of persons in each cluster of the general population vs the customers to identify a target audience for the company.