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CRM Analytics with RFM segmentation, CLTV calculation, and ML (un/supervised) to predict future segmentations.

Home Page: https://yigidatalp.github.io

Python 100.00%
cltv-prediciton crm data-visualization datetime lifetimes matplotlib numpy pandas rfm-analysis scikit-learn seaborn xgboost math clustering exploratory-data-analysis supervised-machine-learning unsupervised-machine-learning plotly

crm-analytics-with-rfm-cltv-and-un-supervised-learning's Introduction

CRM-Analytics-with-RFM-CLTV-and-Un-supervised-Learning

I performed CRM Analytics with RFM segmentation and CTLV calculation. Based on these, I applied a Clustering algorithm to segment customers as an unsupervised learning. Based on RFM, CLTV and Clustering labels, I calculated the final score as a target. And, then I applied a Classification algorithm as a supervised learning to predict customer segmentation.

Skills

CRM Analytics

RFM Segmentation

CLTV Calculation

Scikit-learn

XGBoost

Pandas

Matplotlib

Seaborn

Numpy

Math

Datetime

Lifetimes

Un/supervised ML

EDA

Clustering

Plotly

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