Retail Customer Segmentation
Arsenii Drobotenko
Python
5 Chapters
0 Studying now
A hands-on, notebook-style project guiding you through customer segmentation for a retail dataset using RFM analysis, K-Means clustering, and PCA visualization. All steps are performed in a linear, global-scope code style suitable for Jupyter notebooks, with no function definitions.
コースの説明
A hands-on, notebook-style project guiding you through customer segmentation for a retail dataset using RFM analysis, K-Means clustering, and PCA visualization. All steps are performed in a linear, global-scope code style suitable for Jupyter notebooks, with no function definitions.
技術
Python
言語
En
評価
章
5
Data Loading & Cleaning
RFM Calculation
Preprocessing
K-Means Clustering
PCA Visualization
0%
Data Loading & Cleaning
RFM Calculation
Preprocessing
K-Means Clustering
PCA Visualization
