<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Ml-Lifecycle on Ghafoor's Personal Blog</title><link>http://ghafoorsblog.com/tags/ml-lifecycle/</link><description>Recent content in Ml-Lifecycle on Ghafoor's Personal Blog</description><generator>Hugo</generator><language>en</language><managingEditor>noreply@example.com (AG Sayyed)</managingEditor><webMaster>noreply@example.com (AG Sayyed)</webMaster><copyright>Copyright © 2024-2026 AG Sayyed. All Rights Reserved.</copyright><lastBuildDate>Sat, 15 Nov 2025 18:14:57 +0000</lastBuildDate><atom:link href="http://ghafoorsblog.com/tags/ml-lifecycle/index.xml" rel="self" type="application/rss+xml"/><item><title>Machine Learning Workflow</title><link>http://ghafoorsblog.com/courses/ibm/ml-content/ml-pcert/01-data-analysis-for-ml/01-module/005-ml-workflow/</link><pubDate>Sun, 30 Mar 2025 16:07:22 +0000</pubDate><author>noreply@example.com (AG Sayyed)</author><guid>http://ghafoorsblog.com/courses/ibm/ml-content/ml-pcert/01-data-analysis-for-ml/01-module/005-ml-workflow/</guid><description>&lt;p class="lead text-primary"&gt;
This document explains the foundational concepts, workflow, and vocabulary of machine learning, providing a clear understanding of the tools and processes involved in building and deploying machine learning models.
&lt;/p&gt;


&lt;hr&gt;
&lt;hr&gt;
&lt;h2 id="1-machine-learning-workflow"&gt;1. Machine Learning Workflow&lt;/h2&gt;
&lt;p&gt;The machine learning workflow is a structured approach to developing and deploying machine learning models. It consists of several key steps that guide practitioners from problem definition to model deployment. The following table outlines the main steps in the workflow:&lt;/p&gt;</description></item></channel></rss>