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Customer Segmentation with KMeans Clustering: Real-World Example in Python & Streamlit
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#machinelearning #datascience #python
Learn how to build a customer segmentation model using KMeans clustering in Python, and deploy it with an interactive Streamlit app. This end-to-end project covers data preprocessing, model training, evaluation, and visualization. Perfect for understanding real-world applications of clustering with Sklearn.
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Learn how to build a customer segmentation model using KMeans clustering in Python, and deploy it with an interactive Streamlit app. This end-to-end project covers data preprocessing, model training, evaluation, and visualization. Perfect for understanding real-world applications of clustering with Sklearn.
Get Free AI Courses:-------------
Machine Learning Interview Preparation:
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