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Marketing Analytics Using Machine Learning Techniques
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1.
Introduction
Getting Started
2.
Data Manipulation
Data Exploration
Data Wrangling
Data Modeling
3.
Predicting Customer Revenue
Introduction to Linear Regression
Explore the Dataset
Feature Engineering
Relationships Between Dependent and Independent Variables
Model Building and Evaluation
Challenge: Revenue Prediction
Solution: Revenue Prediction
Quiz: Revenue Prediction
4.
Customer Segmentation
Introduction to Customer Segmentation
Explore the Dataset
Feature Engineering
Customer Segmentation
Interpreting the Segmentation Result
Dimensionality Reduction with PCA
Challenge: Customer Segmentation
Solution: Customer Segmentation
Quiz: Customer Segmentation
5.
Predicting Customer Churn
Introduction to Customer Churn
Explore the Dataset
Feature Engineering: One-Hot Encoding
Feature Engineering: Remove Redundant Features
Churn Prediction with Logistic Regression
Churn Prediction with Decision Tree
Challenge: Customer Churn
Solution: Customer Churn
Quiz: Customer Churn
6.
Predicting Customer Lifetime Value (CLV)
Introduction to Customer Lifetime Value
Data Exploration: Monthly Revenue Analysis
Data Exploration: Customer Revenue Analysis
Predict Quarterly Sales with the RFM Model
Challenge: Customer Lifetime Value
Solution: Customer Lifetime Value
Quiz: Customer Lifetime Value
7.
Conclusion
Course Summary
Marketing Analytics Using Machine Learning Techniques
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Quiz: Revenue Prediction
Quiz: Revenue Prediction
Check your understanding of linear regression and revenue prediction.
We'll cover the following...
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