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Analyzing US crime statistics using hierarchical clustering to uncover patterns in state-level arrest data and Advanced analytics to delineate market segments in retail, optimizing targeted marketing strategies through customer behavior and demographic profiling.
Repositori ini berisi proyek data mining yang menganalisis perilaku pelanggan di sektor perbankan, dengan fokus pada prediksi churn. Dilengkapi dengan visualisasi data dan implementasi algoritma Naive Bayes untuk analisis lebih lanjut.
In this project, the website user conversion has been studied. The dataset has over 20000 observations and 6 variables. The attributes discount, conversion, source and country are characters whereas the attributes total_pages_visited and visit_duration are numerics.
My Final Submission for the 'Santander Customer Transaction Prediction'. I have participated in this very tough and interesting competition on Kaggle a while ago and I finally got the time to put all the work together in this Repo.
Exploration, visualization and implementation of machine learning models on customer, transnational other such data of Toyota, Universal Bank, Wayfair, etc (R, SAS and Alteryx)
Repository contains the code and data related to the Master Thesis "Exploring the Potential of Open Data for Customer Analytics: A Swiss-Centered Proof-of-Concept"