Delivering my #MLZoomcamp Capstone 2 Project!

I am preparing for submit my second Capstone Project for the Machine Learning Zoomcamp by @DataTalksClub.

The goal was to build a complete, end-to-end ML solution, moving beyond
just training models in a notebook to creating a production-ready
service.

This journey, mentored by the @DataTalksClub community, has been an intense but rewarding experience in "learning by doing." 🤓

Last minutes deploying my second capstone project for the #MLZoomcamp course by @DataTalksClub using XGBoost, FastAPI and Google Cloud Run for deployment. 🚀
Just orchestrated a multi-node cluster with self-healing pods and load balancers... just to classify clothing images. 🏗️✨ MLOps is wild. Last homework for #mlzoomcamp by @DataTalksClub is DONE! 🚀
What a hard day, now submitting my ninth homework but this time for #mlzoomcamp by @DataTalksClub... 😰 🤒
Finally decided to write an article about K-Nearest Neighbors as part of the learning roadmap for #mlzoomcamp @DataTalksClub and had published the same @medium
Completed with the peer reviews for Capstone 2 project of #mlzoomcamp
@DataTalksClub . This time got working insights from a project on Demand Forecasting with Time Series 📈
Completed with the ML Zoomcamp Kaggle Competition hosted by #mlzoomcamp and had done the submissions in the wee hours of morning. I still have to learn a lot to outmodel people above me in the Leaderboard 😶‍🌫️
Moreover, finalizing a topic for the article at #mlzoomcamp @DataTalksClub and formulating a plan for how to go about it.
Also taking a step forward for the Kaggle competition hosted by #mlzoomcamp @DataTalksClub. This is my first Kaggle competition and also the first time dealing with demand forecasting with time series. So a little uncertain but still hopeful 🙏
Started the review of assigned peer's projects at #mlzoomcamp
@DataTalksClub This means many interesting new things to learn and I am excited about it.