Complete Machine Learning Model building and Deployment.

  • Duration – 20 hour

 

  • Developing the NLP Model for Sentiment analysis and Machine learning deployment on local server using flask and docker.
  • Select the most efficient Machine Learning Model,Tune the hyper-parameters and selecting the best model using cross-validation technique
  • A quick discussion from the basic in nutshell about DevOps tools like docker, Git and GitLab, Jenkins etc.
  • Course completion certificate
  • Mode of Study – Self Paced Learning
  • 24/7 support

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Complete Machine Learning Model building and Deployment.

Section 1: Installation and Configuration

 

  1. Environment – Virtual BoxConfiguration and Installation

 

  1. Environment – Docker Installation

 

  1. Environment Setup – Installation ofjenkins.

 

  1. Environment Setup – GitLab Installation

 

  1. Introduction to Flask

 

Section 2: Part 1 Natural Language processing Programming

 

  1. Sentiment Analysis introduction anddata set.

 

  1. Programming Python Flask Web API

 

  1. Sentiment Analysis Cleaning of data.

 

  1. Regex to remove username

 

  1. Punctutaion and body lengthFeatures

 

  1. Vectorizers and Model Selection

 

  1. HyperParameter tuning and modelselection

 

Section 3: Part 2 Programming Python Flask NLP Model

 

  1. Understanding Templates andWebPages

 

  1. Importing webpages and mainfunction

 

  1. Running our flask API

 

Section 4: Part 3 Introduction to docker commands and Dockerfile

 

  1. Understating the docker in Nutshell

 

  1. Writing Dockerfile

 

  1. GitHub Clone and docker build

 

Section 5: CI -CD Pipeline and jenkins configuration

 

  1. Push code to GitLab and makeJenkins freestyle project

 

  1. Making Jenkinsfile and creatingJenkins pipeline

 

  1. Configuring CI-CD Pipeline withGitLab webhook and Jenkins

 

Section 6: Course Completion

 

  1. Congratulation for your completion

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What People Are Saying

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A very good match. i am enjoying every bit.

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Experience was quite good and it was very useful and well elaborated course.

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Standard process and hands on covered nicely.

 

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Great courses. Beginner friendly and the explanations are clear and very easy to understand.

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Instructor showed multiple ways of using a concept and how to solve the problem. Excellent course and lecture by the instructor.

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Rishi-

Instructor showed multiple ways of using a concept and how to solve the problem. Excellent course and lecture by the instructor.

Mahima-

This Courses is really useful for my career and surely i will recommend other to fulfill their career goals.

 Mauricio Roldan -

A pesar de no dominar perfectamente el idioma, se entiende bien.

Emile-

Yes lessons are very good. Not so fast, well explained

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Worth course for the beginner to invest their time to learn this demanding skills.

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