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Train Machinelearning Models With Mlflow In Microsoft Fabric

Posted By: ELK1nG
Train Machinelearning Models With Mlflow In Microsoft Fabric

Train Machinelearning Models With Mlflow In Microsoft Fabric
Published 2/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 451.28 MB | Duration: 1h 12m

Learn step by step how to execute a machine learning problem in Microsoft Fabric using MLFlow

What you'll learn

Learn how to train and Track Machine Learning Models with MLflow in Microsoft Fabric

Fundamentals of Data Science and Machine Learning

Deep dive into MLflow's core components and how they integrate with Microsoft Fabric

A hands-on Linear Regression Project involving MLFlow and Microsoft Fabric

Requirements

No experience needed, we will cover everything from scratch.

Description

MLflow is transforming how we develop and deploy machine learning models. It solves critical challenges in the ML lifecycle - from tracking experiments and comparing results to packaging models for deployment. Combined with Microsoft Fabric's enterprise-grade platform, you'll learn industry-standard practices for managing your ML projects.The highlight of this course is our end-to-end project, where you'll experience the full ML lifecycle. You'll learn to track experiments, compare model versions, and manage your ML pipeline effectively - skills that are invaluable in real-world data science roles.Top Reasons why you should learn Microsoft Fabric : Microsoft Fabric is a combination of all the #1 cloud based Data Analytics tools from Microsoft that are used industry wide.The demand for data professionals is on the rise. This is one of the most sought-after profession currently in the lines of Data Science / Data Engineering / Real Time Analytics.There are multiple opportunities across the Globe for everyone with this skill.This is a new skill that has a very few expert professionals globally. This is the right time to get started and learn Microsoft Fabric. Microsoft Fabric has a small learning curve and you can pick up even advanced concepts very quickly.You do not need high configuration computer to learn this tool. All you need is any system with internet connectivity and you can practice Fabric within your browser, no installation required.Top Reasons why you should learn MLFlow : MLflow is a versatile, expandable, open-source platform for managing workflows and artifacts across the machine learning lifecycle.MLflow is an open source platform for managing machine learning workflows. It is used by MLOps teams and data scientists.Machine Learning is one of the most sought after skill in today's world and MLFlow is one of the top tools to run ML solutions industry wide.Top Reasons why you should choose this Course :This course is designed keeping in mind the students from all backgrounds - hence we cover everything from basics, and gradually progress towards advanced topics.Step by Step Instruction to complete the ML project together.Links to support portal, documentation and communities.All Doubts will be answered.New content added regularly and useful educational emails are sent to all students.Most Importantly, Guidance is offered beyond the Tool - You will not only learn the Software, but important Machine Learning principles. A Verifiable Certificate of Completion is presented to all students who undertake this Microsoft Fabric + MLflow course.

Overview

Section 1: Welcome

Lecture 1 Introduction

Section 2: Understanding Machine Learning and its Frameworks

Lecture 2 Data Science Process

Lecture 3 Explore machine learning frameworks

Lecture 4 Process to train a Model

Lecture 5 Training a Model - Example

Lecture 6 Work with notebooks in Microsoft Fabric

Section 3: Introduction to MLFlow

Lecture 7 MLFlow Introduction

Lecture 8 MLFlow Advantages

Lecture 9 Who uses MLFlow?

Section 4: Step by Step Instructions to run a Machine Learning Project in Microsoft Fabric

Lecture 10 Navigating the Microsoft Fabric Interface

Lecture 11 Create a Workspace

Lecture 12 Create a Notebook

Lecture 13 Load data into Dataframe

Lecture 14 Train a Machine Learning Model

Lecture 15 Using MLFlow to search and view your experiments

Lecture 16 Explore your Experiments

Lecture 17 Understand the ML Model File

Lecture 18 Save the model

Lecture 19 Closing activities

Section 5: End Notes

Lecture 20 Congratulations

Microsoft Products and Cloud Computing professionals and enthusiasts,Data Engineers, Data Analysts, ML Developers who want to learn how to use Microsoft Fabric to build end-to-end data analytics solutions.,Data enthusiasts who would love to learn new technologies,Machine Learning Enthusiasts exploring MLFlow to train and track models,Anybody looking to upskill to a technology in demand that pays well