End To End Machine Learning Project Implementation With Dockers,Github Actions And Deployment

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In this video we will be implementing an end to end ML project implementation with Dockers And Github Action
Time stamps:
Understanding the dataset 00:00:00
Preparing Dataset And Basic Analysis 00:08:14
Preparing Dataset For Model Training 00:22:10
Training The Model 00:36:54
Performance Metrics 00:52:41
Prediction Of New Data 00:55:33
Pickling the model file 00:59:45
Setting Up Github And VS Code 01:04:40
Tools And Software Required 01:12:00
Creating A New Environment 01:18:35
Setting up Git 01:26:07
Creating A FLASK Web Application 01:39:04
Running An Testing our application 01:53:14
Prediction From Front End Application 02:01:08
Procfile for Heroku Deployment 02:11:35
Deploying The App To Heroku 02:16:39
Deploying The App Using Dockers 02:23:20
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Your tutorials are great! Thanks to you I am transitioning seamlessly. So happy that I can do something I actually love doing!

bradfordmutemi
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Hi from Tunisia, I love this tuto so much, In the same time I was coding with you not just watching the video and I understand a lot of things, and I got my projects deployed, thank you so much I hope there will be a lot of similar projects in the future.

manelaloui
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Excellent E2E video. Would love to see more of these sessions.Thanks a ton!

ObhiReads
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I was actually expecting to get this notification of an end-to-end ML project from you. Thanks, Krish.

adityadeepak
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Apart from the api and flask app building everything was super easy. Thanku @krish for the amazing video

mohitkumar
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One of the greatest videos I ever watched on the internet. Continue to do the great work man

ntsikeleloyalezo
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Thanks Krish - I learned so much about deployment from this video!

mattjoe
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Brilliant sir.... Never seen such a detailed and exceptional tutorial

Xnshau
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Thanks a
Your explanation is just waoo
Please continue this series for other Algorithms of ML and possibly to advance projects . 🙏

ayeshavlogsfun
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I LOVE YOU, Man. You are a superstar. I am a Ph.D. researcher who has developed many ML models that just remained on Notebooks. Now, I will be deploying all these models. Hats off.

sajjadhussain-txif
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Thank you so much Sir for always providing content of high value. I wish there could be an option to like again every time one visits the video, I guess most of us would like to like these videos again and again. 😁🙏

amarchanotiya
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You're great Krish, thank you soo much for helping us🙏🙏🙏

ckpratibha
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Very nice and helpful video sir, for data science learners. Kudos to your service and knowledge.

ananthalakshmi
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This content is really good. I will be waiting for videos like this. Thank you.

out-of-sight
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Amazing Sir. Thanks alot for providing the knowledge.

anandhuded
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It was very insightful! Thanks a lot Krish for your brilliant explanation

nshettys
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Thanks a lot from bottom of my heart, I cant express how happy I am to implement this end to end project in my early stage of career, Have tried many tutorials and have git heaps and heaps of error due to which i quit for moment
But as u said Error is part of process ....
Duely Noted and Once Again Thanks....

utkarshashinde
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One of the best video in youtube right now

abhisekdatta
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Thank you from 2020 to 2022 forward ^^

randyluong
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Thank you so much Krish for these amazing tutorials <3

studywithme