Haylie  Conn

Haylie Conn

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Machine Learning Model inside Docker Container

In this Machine Learning Model we are going to make a program that estimate salary of the person for given years of Experience.

Steps to do the Task :

  • Pulling the CentOS image from docker hub.
  • Creating new Container using CentOS image.
  • Installing python software on the top of new container
  • Importing libraries required for training ML model.
  • Copying the data file to the container.
  • Train and load the model in one file to predict the values.

lets , Start

First lets start with…

What is Machine Learning ?

Machine learning (ML) is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence . Machine learning algorithms build a model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.

now ,

What is Docker ?

Docker is an open platform for developing, shipping, and running applications. Docker enables you to separate your applications from your infrastructure so you can deliver software quickly. With Docker, you can manage your infrastructure in the same ways you manage your applications. By taking advantage of Docker’s methodologies for shipping, testing, and deploying code quickly, you can significantly reduce the delay between writing code and running it in production.

#mlops #docker #machine learning #container

Machine Learning Model inside Docker Container