Free download » Free download video courses » Udemy - DP-100 Azure Machine Learning in Python-Basic to Advance
| view 👀:54 | 🙍 oneddl | redaktor: FreshWap.CC | Rating👍:

Udemy - DP-100 Azure Machine Learning in Python-Basic to Advance



Udemy - DP-100 Azure Machine Learning in Python-Basic to Advance
Duration: 3h24m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.1 GB | Last Update: 7/2021
Genre: eLearning | Language: English
Machine learning workflow orchestration to automate model training, deployment, and management processes using python.


What you'll learn:
Azure ML Architecture
Train a Machine learning with Azure ML in python
Attached Storage with your Azure ML
Deploy real time machine service
Azure Auto ML
Azure Designer Studio
Requirements:
Free or paid subscription to Microsoft Azure is required. It may ask for Phone and/or Credit Card for verification
Python Basic knowledge
Description:
This course has been designed keeping in mind entry level Data Scientists or no background in programming. This course will also help the data scientists and python developers to learn the AzureML .
This course is designed based on latest changes done in DP-100 Certification.
This course would also be useful for the experts who needs to know how to create and deploy a machine learning environment in production. Environment could be cloud or on-premises
In this course student will learn to:-
Create Free Azure account and how to access AzureML studio
We will learn complete architecture of Azure Machine learning
How we can create a virtual env for python using yml file in your local machine
Will train machine learning and deep learning algorithm in azure ml in local machine and same code will be executed in azure as well.
How different storage can be attached to azure ml like Azure SQL DB
How to deploy ML in azure and do real time prediction
We will cover how to create machine learning pipeline and how to do hyperparameter tuning
We will also learn how to implement Azure Auto ML
How to create complete machine learning lifecycle without writing a single code with the help of azure machine learning studio.
Understanding of the components and how they work together to assist in the process of building, deploying, and maintaining machine learning models.
Provision an Azure Machine Learning workspace
Use tools and interfaces to work with Azure Machine Learning.
Run code-based experiments in an Azure Machine Learning workspace.
Who this course is for:
Developer or data scientist execute model in Azure
Developers who want to start a career in or wants to learn about the exciting domain of Data Science and Machine Learning
Business Analysts who want to apply Data Science to solve business problems
Homepage
https://www.udemy.com/course/dp-100-azure-machine-learning-in-python-basic-to-advance/


Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me




rapidgator
https://rapidgator.net/file/d5f7ec5a37f5239ecb348629ca97e461/n65vd.DP100.Azure.Machine.Learning.in.PythonBasic.to.Advance.part1.rar.html
https://rapidgator.net/file/debab6160aace6f582a0d18d3edc41b5/n65vd.DP100.Azure.Machine.Learning.in.PythonBasic.to.Advance.part2.rar.html



Links are Interchangeable - No Password - Single Extraction

⚠️ Dead Link ?
You may submit a re-upload request using the search feature. All requests are reviewed in accordance with our Content Policy.

Request Re-upload
📌🔥Contract Support Link FileHost🔥📌
✅💰Contract Email: [email protected]

Help Us Grow – Share, Support

We need your support to keep providing high-quality content and services. Here’s how you can help:

  1. Share Our Website on Social Media! 📱
    Spread the word by sharing our website on your social media profiles. The more people who know about us, the better we can serve you with even more premium content!
  2. Get a Premium Filehost Account from Website! 🚀
    Tired of slow download speeds and waiting times? Upgrade to a Premium Filehost Account for faster downloads and priority access. Your purchase helps us maintain the site and continue providing excellent service.

Thank you for your continued support! Together, we can grow and improve the site for everyone. 🌐

Comments (0)

Information
Users of Guests are not allowed to comment this publication.