--- title: How to Build an End-to-End ML Platform Locally: From... description: A comprehensive hands-on guide to building a local end-to-end ML platform for fraud detection. Starts by exposing the pitfalls of a naive ML approach (no... canonical: https://daily.dev/posts/how-to-build-an-end-to-end-ml-platform-locally-from-experiment-tracking-to-ci-cd-6nsz18xbd twitter:card: summary_large_image twitter:site: @dailydotdev og:type: website og:site_name: daily.dev og:title: How to Build an End-to-End ML Platform Locally: From Experiment Tracking to CI/CD | daily.dev og:description: A comprehensive hands-on guide to building a local end-to-end ML platform for fraud detection. Starts by exposing the pitfalls of a naive ML approach (no... og:url: https://daily.dev/posts/how-to-build-an-end-to-end-ml-platform-locally-from-experiment-tracking-to-ci-cd-6nsz18xbd og:image: https://api.daily.dev/og/posts/6NSz18Xbd.png og:image:alt: How to Build an End-to-End ML Platform Locally: From Experiment Tracking to CI/CD og:image:width: 1200 og:image:height: 630 og:locale: en --- > ## Documentation Index > Fetch the complete documentation index at: https://daily.dev/llms.txt > Use this file to discover all available pages before exploring further. # How to Build an End-to-End ML Platform Locally: From Experiment Tracking to CI/CD **[freeCodeCamp](https://daily.dev/sources/freecodecamp)** · 69 min read · 14 upvotes · 0 comments ## Summary A comprehensive hands-on guide to building a local end-to-end ML platform for fraud detection. Starts by exposing the pitfalls of a naive ML approach (no experiment tracking, no model versioning, no data validation, no monitoring, no CI/CD), then incrementally adds MLflow for experiment tracking and model registry, Feast as a feature store, FastAPI for model serving, Great Expectations for data validation, Evidently for drift monitoring, Docker for containerization, and GitHub Actions for CI/CD. All code is copy-paste runnable and targets local execution without cloud or Kubernetes. ## Full article daily.dev links to this article rather than hosting it. Read it at the original source: ## Similar posts on daily.dev - [Are Your ML Experiments a Mess? Here’s the Fix](https://daily.dev/posts/are-your-ml-experiments-a-mess-here-s-the-fix-og4pulesw) · Towards Data Science · 0 upvotes · 0 comments - [How to Use MLflow to Manage Your Machine Learning Lifecycle](https://daily.dev/posts/how-to-use-mlflow-to-manage-your-machine-learning-lifecycle-waxkdaxly) · freeCodeCamp · 2 upvotes · 0 comments - [Stop Failing Your MLflow Install: The 2026 Production Guide](https://daily.dev/posts/stop-failing-your-mlflow-install-the-2026-production-guide-jxcageurb) · SitePoint · 0 upvotes · 1 comments - [Welcome to the Production Grade ML Systems Series\!](https://daily.dev/posts/welcome-to-the-production-grade-ml-systems-series--msseux6aj) · Medium · 0 upvotes · 0 comments - [6 Steps to Build an ML Model](https://daily.dev/posts/6-steps-to-build-an-ml-model-bv51m79fz) · Daily Dose of Data Science \| Avi Chawla \| Substack · 5 upvotes · 0 comments --- Tags: [#machine-learning](https://daily.dev/tags/machine-learning), [#python](https://daily.dev/tags/python), [#mlops](https://daily.dev/tags/mlops), [#fastapi](https://daily.dev/tags/fastapi) [View this post on daily.dev](https://daily.dev/posts/how-to-build-an-end-to-end-ml-platform-locally-from-experiment-tracking-to-ci-cd-6nsz18xbd) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@type":"TechArticle","headline":"How to Build an End-to-End ML Platform Locally: From Experiment Tracking to CI/CD","url":"https://daily.dev/posts/how-to-build-an-end-to-end-ml-platform-locally-from-experiment-tracking-to-ci-cd-6nsz18xbd","mainEntityOfPage":{"@type":"WebPage","@id":"https://daily.dev/posts/how-to-build-an-end-to-end-ml-platform-locally-from-experiment-tracking-to-ci-cd-6nsz18xbd"},"datePublished":"2026-03-17T23:01:51.552Z","dateModified":"2026-03-17T23:02:19.896Z","description":"A comprehensive hands-on guide to building a local end-to-end ML platform for fraud detection. 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