My Journey Building a Production-Ready ML Pipeline: House Rent Prediction

My Journey Building a Production-Ready ML Pipeline: House Rent Prediction How I learned to build a scalable machine learning system from scratch using Apache Spark, Kubernetes, and AWS services 🎯 The Learning Challenge When I started my ML learning journey, I wanted to build something real - not just another tutorial project. I decided to create a house rent prediction system that could actually be used in production. The challenge was daunting: I needed to build a system that could: Process thousands of house listings efficiently Train ML models with complex feature engineering Serve predictions in real-time Scale automatically based on demand Maintain data lineage and reproducibility ...