---
title: "Discussion on \"MLflow: A Complete Guide to Managing the Machine Learning Lifecycle\" | Hashnode"
description: "Discussion on \"MLflow: A Complete Guide to Managing the Machine Learning Lifecycle\". Imagine you are building a model to predict whether a customer will churn. You collect data, clean it, and train a few models in a notebook. One model gives 82% accuracy, another gives 85%, and after"
url: "https://hashnode.com/posts/mlflow-a-complete-guide-to-managing-the-machine-learning-lifecycle/69d9cfafc8e5007ddb47116b"
---

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# [MLflow: A Complete Guide to Managing the Machine Learning Lifecycle](https://codecoffeee.hashnode.dev/mlflow-a-complete-guide-to-managing-the-machine-learning-lifecycle?utm_source=hashnode&utm_medium=feed)

Imagine you are building a model to predict whether a customer will churn. You collect data, clean it, and train a few models in a notebook. One model gives 82% accuracy, another gives 85%, and after

Apr 11 · 14 min read · codecoffeee.hashnode.dev  
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-   [#mlflow](https://hashnode.com/tag/mlflow)
-   [#mlops](https://hashnode.com/tag/mlops)
-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#databricks-mlflow-apachespark-bigdata-machinelearningpipeline-aiincloud-datasciencetools-modeldeployment-sparkml-cloudcomputing-mlops-deeplearningindatabricks-dataengineering-aimodeltracking](https://hashnode.com/tag/databricks-mlflow-apachespark-bigdata-machinelearningpipeline-aiincloud-datasciencetools-modeldeployment-sparkml-cloudcomputing-mlops-deeplearningindatabricks-dataengineering-aimodeltracking)

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[Amie.](https://hashnode.com/@amiez)

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Hey there! I'm a tech enthusiast, developer, and lifelong learner who loves exploring the world of code over a good cup of coffee. ☕💻 Whether it’s software development, AI, DevOps, or debugging tricky bugs, I enjoy sharing insights and learning along the way. Join me on Code &amp; Coffee as we break down complex tech topics, one sip at a time! 🚀

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