A collection of Jupyter notebooks covering Python concepts, software design principles, and key libraries.
A real-world backend optimization project implementing an LRU cache using DSA and enhancing eviction decisions with a machine learning model to improve cache hit rate and reduce database load.
Beta Bank has been facing a gradual exodus of customers. Recognizing the significance of preserving existing clients, the bank wants to develop a robust churn prediction model to identify customers who are likely to leave the bank soon.
End-to-end ML pipeline predicting telecom customer churn with XGBoost, featuring EDA, model comparison, and an interactive Streamlit app
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