Training a ML model inside a container

Training a ML model inside a container

Task 01 ???????

Task Description ??

?? Pull the Docker container image of CentOS image from DockerHub and create a new container

?? Install the Python software on the top of docker container

?? In Container you create machine learning model

1.First let's get the docker image

No alt text provided for this image

2.Now let's run the container and get inside it

No alt text provided for this image

3.Now install python in this container

No alt text provided for this image

4.We have to download pandas library for loading our dataset and the scikit-learn library for training the model

No alt text provided for this image

5.Check the installation by pip3 list command

No alt text provided for this image

6.Now from docker host let's transfer the csv file

No alt text provided for this image

7.This is code for training

No alt text provided for this image

8. This is code for testing, ie we predict the value for 3.6 years of experience

No alt text provided for this image

9. Now let's run the prediction code

No alt text provided for this image

We get the value 59812.06 !


Swarnim Kashyap

DevOps Engineer | 2x Redhat Certified | RHCE | RHCSCK | 1x AWS Certified | MLOPS

3 年

Great ??Yash Indane

Prasant Mahato

DevOps, Cloud & Performance Engineer| DevOps Engineer

3 年

Great

Adarsh Kumar

Cloud Technical Solutions Engineer @ Google

3 年

Great bro Yash Indane ????

要查看或添加评论,请登录

Yash Indane的更多文章

  • Use of K-mean clustering in security domain

    Use of K-mean clustering in security domain

    Summer Task-10 & ARTH Task 42 Github -> What is K-means Clustering? K-means clustering is one of the simplest and…

  • OSPF Routing Protocol using Dijkastra Algorithm

    OSPF Routing Protocol using Dijkastra Algorithm

    What is OSPF? The OSPF (Open Shortest Path First) protocol is one of a family of IP Routing protocols, and is an…

  • Using Face Recognition for automation

    Using Face Recognition for automation

    SUMMER-TASK-6 (Team Task) and ARTH TASK 38 GitHub -> In this article I will explain how we can use Face Recognition and…

    3 条评论
  • JavaScript use cases in Industry

    JavaScript use cases in Industry

    Summer Task 7.2 What is JavaScript? JavaScript, often abbreviated as JS, is a programming language that conforms to the…

    1 条评论
  • Use of confusion matrix in detecting cyber crime

    Use of confusion matrix in detecting cyber crime

    Summer 2021 Task 05 ??????? Particularly in the last decade, Internet usage has been growing rapidly. However, as the…

  • Running Chrome in Docker container

    Running Chrome in Docker container

    Summer - Task 02 ??????? By default containers don't support GUI, but by some way we can achieve that, let's discuss…

    3 条评论
  • Deploying WordPress in Amazon EKS with RDS in Backend

    Deploying WordPress in Amazon EKS with RDS in Backend

    ARTH-TASK-23 WordPress is a free and open-source content management system written in PHP and paired with a MySQL or…

    3 条评论
  • How industry uses MongoDB

    How industry uses MongoDB

    ARTH-TASK-32 What is MongoDB? MongoDB is a source-available cross-platform document-oriented database program…

  • Creating a Multicloud Setup of Kubernetes using Ansible Roles

    Creating a Multicloud Setup of Kubernetes using Ansible Roles

    TASK 28 Task Description ?? ?? CREATE A MULTI-CLOUD SETUP of K8S cluster: ?? Lunch node in AWS ?? Lunch node in Azure…

    2 条评论
  • Helm and Charts in Kubernetes

    Helm and Charts in Kubernetes

    ARTH TASK 24 What are Charts ? A chart is a collection of files that describe a related set of Kubernetes resources. A…

社区洞察

其他会员也浏览了