Project 3 of Udacity's Introduction to Machine Learning Nanodegree Program

Unsupervised Learning: Create Customer Segments using Principal Component Analysis (PCA) and K-means Clustering.

In this project, unsupervised learning techniques will be applied to identify segments of the population that form the core customer base for a mail-order sales company in Germany. These segments can then be used to direct marketing campaigns towards audiences that will have the highest expected rate of returns. The data used here has been provided by Bertelsmann Arvato Analytics, and represents a real-life data science task.

Pre-Installation

Python 3.x , Jupyter Notebook, NumPy, Pandas, SciPy, matplotlib, seaborn, scikit-learn, xgboost