Build &Deploy Machine Learning on Flask,AWS,Azure,Heroku,GCP

Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 6.55 GB | Duration: 11h 58m

What you’ll learn
Learn How To Build and Deploy Machine Learning on Flask, Heroku, AWS, Google Cloud,Microsoft Azure, Streamlit
Master Machine Learning With Python
Learn Through 6 Core Industry Platforms
Learn Through Projects and Assignments
Beginner To Advance
End-to-End Data Science and Machine Learning Deployment

Description
Interested in the field of Data Science and Machine Learning?

Interested in Building Data Science and Machine Learning Projects and Deploy on Platforms such as AWS, Google Cloud, Microsoft Azure, Heroku, Flask, Streamlit?

Interested in learning it the practical way?

Then this course is for you!!

This course has been practically and carefully designed by industry experts to offer the best way of learning Data Science and Machine Learning the practical way with hands-on projects and Deployment throughout the course.

This course will teach step-by-step how to deploy your machine learning models in the cloud as it is done in the industry.

We will walk you through step-by-step on each topic explaining each line of code for your understanding.

There is going to be a lot of fun, excited, and robust projects to better understand each concept under each topic.

We have structured the course in this way:

Projects Deployment Tutorial

Streamlit project tutorial

Flask deployment project tutorial

Heroku deployment project tutorial

Google cloud deployment project tutorial

AWS deployment project tutorial

Microsoft Azure deployment project tutorial

This course aims to help beginners, as well as intermediate data science enthusiasts, learn the most efficient ways to deploy their machine learning models while practicing on the projects to gain a better understanding of the course.

Who this course is for:
Anyone interested in Data Science and Machine Learning.
Anyone who wants to Build And Deploy machine learning models on Flask, Heroku, AWS,Google Cloud, Microsoft Azure, Streamlit
Any student interested in a career in Data Science and Machine Learning
Any beginner level interested to kick-start their career in Data Science and Machine
 Learning
Any intermediate level learner who know the basics of python, statistics, machine
 Learning and want to learn more about model deployment
Any data analysts who want to transition to Data Science and Machine Learning
Any Business Analysts who want to transition to Data Science and Machine
 Learning
Anyone not satisfied with their job and looking for a career transition to become a
 Data Scientist.
Anyone who wants to leverage the power of data in his case scenario.
Any curious mind

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