This repository stores code notebooks for Medium blog posts covering various machine learning and data science topics. Notebooks demonstrate techniques like Proxy SHAP for model explainability, time series forecasting approaches inspired by LLMs, MLOps workflows for forecasting, probabilistic forecasting methods, and causal inference with synthetic control using ML approaches. The content serves as educational material for practitioners learning these techniques.