"Building a Production-Grade Insurance Fraud Detection System with Streamlit, XGBoost, and MLOps" slug: insurance-fraud-detection-mlopsexcerpt: "Learn how to build a complete fraud detection pipeline using Python, XGBoost, joblib, Streamlit, and MLOps principles. From data preprocessing to real-time dashboards—this guide walks you through it all."tags: machine-learning streamlit ...Jun 14, 2025 · 3 min readfraud-detection-end2end.hashnode.dev
Sales Data Analysis with Pandas: A Complete End-to-End EDA Case Study By SanjayRamProject Overview In this blog, we walk through a real-world, FAANG-level exploratory data analysis (EDA) project using 12 months of e-commerce sales data from 2019. The dataset includes transaction details such as product, price, date, quantity, and ...Jun 1, 2025 · 3 min readsanjayml.hashnode.dev
Churn Prediction with Cat-Boost: A End-to-End Project for Telco CustomersPredicting customer churn with machine learning isn’t just a portfolio project — it’s a business-critical use case. In this post, I’ll walk you through how I built a production-grade, end-to-end churn prediction system using Cat-Boost, Stream-lit, Do...May 22, 2025 · 3 min readsanjayml.hashnode.dev
