Save and load Docker Image | Deploy Machine Learning Project with Docker | | Docker Tutorial part2

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In Docker Tutorial in Hindi, I have explained How to save docker image and how to load this image in another system. How to deploy a Machine Learning model in Docker, so you can distribute your project with your client.

This video covered your questions:
1. How to save Docker Image?
2. How to convert docker image to tar file?
3. How to load tar file in other system.

1. How do I deploy machine learning models using Docker?
2. What is docker in machine learning?
3. How do I deploy a docker container?
4. Is Docker a deployment tool?
5. How do machine learning models deploy?
6. Which is the Docker command to build a docker image using Docker file in the current directory?

………………………….Dockerfile…………………………
FROM continuumio/anaconda3:latest
WORKDIR /home
COPY Banglore_House_Price_Prediction ./project
WORKDIR /home/project
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Course Playlists-

Machine Learning & Data Science - Beginner to Professional Hands-on Python Course in Hindi:

Python NumPy Tutorial in Hindi:

Python Pandas Tutorial in Hindi

Python Matplotlib Tutorial in Hindi:

Python Seaborn Tutorial in Hindi:

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Watched all videos of the docker series. Thanks

bhavikdudhrejiya
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Great Job ! Nice Explanation Please go ahead making Next Docker Videos . Will be Waiting

sabyasachighosh
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This was one of the best I have seen. Can you also please make a video on deploying docker.tar on AWS or Azure. Thanks in advance.

chetanshetty
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Thanks for providing such a wonderful insight on Docker..pls make video for advance docker

murshidalam
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Really Nice work...!👌👌👌
Keep going on next videos👍

sharathchandra
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Please sir make more videos on advance Docker.

bhagyashreeaher
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It is very informative.Request you to make more videos for ML deployment series specifically with deploying models with Kubernetes

ankur
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Please deploy this container in AWS if possible, thanks

aladinsabari
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Sir plz upload videos of opencv please sir

piyushpathak
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Please sir make more videos on advance Docker.

worldinsight.