Advanced semantic text chunking with custom structural markers, whole-text coherence preservation, and flexible token management. Features async processing, LangChain integration, and dynamic drift detection. Ideal for RAG systems, augmented text processing, and domain-specific document analysis.
🔴 Customer Churn Prediction (Bank Customers) 🔴 In this project, I analyzed bank customer data to predict who might leave the bank. I cleaned and prepared the dataset by handling missing values and encoding categorical features. I trained machine learning models to classify customers based on churn risk.
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