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Using ML models to personalize offers to loyal customers to increase their purchasing activity

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Online_store_ML_analysis

Using ML models to personalize offers to loyal customers to increase their purchasing activity Objective: Develop a personalized marketing solution to increase purchasing activity among regular customers.

Data: Four datasets were used, covering customer behavior on the website, revenue generated from customers, time spent on the site, and average monthly profit over the last three months.

Steps:

•	Data preprocessing
•	Conducted a correlation analysis.
•	Built a pipeline to identify the best model among kNN, Decision Tree Classifier, SVC, and Logistic Regression.
•	Employed randomized search for hyperparameter tuning.

Analysis of features using SHAP Creation of customer segmentation

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