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Customer Segmentation by Machine Learning

Matt Clayton | Business Intelligence & Analytics

💪 This project was an astounding success in using unsupervised machine learning to uncover intelligence in data and a professional favorite of mine! 🏆

⚙️️ To build it required basic R and statistics knowledge since the k-means clustering algorithm is so common and elegant.

😌 The result was a competitive heat map of the network split by AI into rural or urban and high or low competitive segments so accurate you could identify urban centers as if on a map by charting the ML output alone.

My favorite part about this project was putting newfound data science skills to the test and finding how well they can work outside of an academic environment, and also seeing how simple and elegant ML can be! 🙌

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