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Learn Machine Learning NLP Model Using Python, Deploy With Docker - A Complete Guide

Learn Machine Learning NLP Model Using Python, Deploy With Docker - A Complete Guide

This Course have been design to keep these areas under consideration. The combination of industry standard build pipeline with some of the most common and important tools.

Overview

Description
Machine Learning Real value comes from actually deploying a machine learning solution into production and the necessary monitoring and optimization work that comes after it.

Most of the problem nowadays as I have made a machine-learning model but what next.

How it is available to the end user, the answer is through API, but how it works?

How you can understand where the Docker stands and how the to monitor the build we created.

This Course have been design to keep these areas under consideration. The combination of industry standard build pipeline with some of the most common and important tools.

At the end of this course, you will be able to:

Learn about Building NLP model
Tuning the hyper-parameters and selecting the best model using cross validation
technique
Using Flask and API building
Use of Docker and writing Docker file
Understanding the concept of GitLab and end-to-end integration of Jenkins
Basic knowledge
Basic programming in any language
Some exposure to Python (but not mandatory)

Course Information

Basic programming in any language
Some exposure to Python (but not mandatory)

What will you learn
Learn the synchronization of DevOps & Machine Learning
Learn flask for to expose your model through API
Building Natural Language, processing Sentiment Analysis model and Expose it with API
Build your own sentiment Analysis NLP model
Select the most efficient Machine Learning Model, tune the Hyper-parameter, and deploy it on our server cluster
Learn Docker , Docker Files, Docker Applications & Docker Containers (DevOps)
Learn basics of GitLab, Jenkins and configure CI-CD Pipeline for end-to-end integration
Complete Resources for getting started with all these technology

Anyone willing to venture into the realm of data science
Anyone who would be interested in deploying a Data Science Solution, can be Regression, NLP or even Deep Learning Models

• Lifetime Access to Each Course
• Certificate on Completion of Course
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• High Priority Support After Sales.
• Big Discounts on Individual Courses

Course Specifications

Our great AI and Machine Learning courses include Artificial Intelligence, Coding and Programming. 

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Adult education is the non-credential activity of gaining skills and improved education. 

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Online education is electronically supported learning that relies on the Internet for teacher/student interaction. 

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A short course is a learning programme that gives you combined content or specific skills training in a short period of time. Short courses often lean towards the more practical side of things and have less theory than a university course – this gives you a more hands-on experience within your field of interest.

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Course duration is 24 hours.

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