End To End MLOPS Data Science Project Implementation With Deployment

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In this project we will be implementing end to end data science projects with mlflow and also deploy in the AWS EC2 insstance using github action

Project Timestamp:

00:00:00 Introduction to Project
00:04:00 Create a Repository In Github Account
00:20:22 Logging Implementation
00:38:40 Data Ingestion
01:03:29 Data Validation
01:19:29 Data Transformation
01:29:13 Model Trainer
01:59:24 Prediction Pipeline
02:12:53 Deployment In EC2 with app runner

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We at PWSKILLS are happy to announce our new Full Stack Data Science Pro Batch With Job Assurance Program starting from 12th August 2023. All the classes will be live and previous sessions recordings will also be given. Below are the details of the batch

Start Date 12th August 2023
Timing : 9AM-12PM IST Sat & Sun
Mentors: Sudhanshu, Krish Naik,Sourangshu Paul,Sunny Savitha
As we know AI is evolving a lot so we have also included syllabus related Generative AI, LLm models and prompt engineering.
Check out the entire details of the batch below and avail additional discount
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Комментарии

I love you man, , your end to end projects, has given me a job, , all the way from Kenya

gichurumuthomi

Thank you so much, Krish! Looking forward to the next End to End project!

matheusgoes

You are machine to make videos on data science sir ji.. Lots of love and respect on you. Thank you is very small word to describe your dedication to teach us.

bhaskarl

Thank you so much! I enjoyed the project end to end, thanks for the video, you are the better!

CJMO

Krish, you are doing a great job. I have been following you since I started my journey in 2019.Thanks for such amazing contents.

tseydbw

Thanks for the amazng video and clear explanation!

ND-hrmb

One of the best End to End ML explaining

Susovan-vjwd

Love the way bappy do the projects ❤❤🎉

pramodpatil

Thank you Sir for this video. It is really helpful for me.

saisubhasishrout

We at Pwskills are happy to announce 2 amazing courses with job assurance program which will help you get ready for industries.
Check the courses below

krishnaik

This guy explanation is also good but we love when you make videos Krish Sir 🙌🏼

aishwaryapattnaik

Superb, I was actually struggling before in understanding the workflow, This was very helpful.

sahilgoregaonkar

Excellent!
My comment is:
Your updated requirements.txt file is well-suited for an MLOps project. It includes essential libraries for data manipulation, machine learning, visualization, web service creation, and more. BUT, by pinning versions and using a virtual environment, you ensure a reproducible and isolated environment for your project.

antishwow

Bappy is teaching good excellent bappy

nagrajwellness

The lecture is informative. But few suggestions
1. please do mention that no one uses such ( 01_ data_ingestion...) file names in live projects.
2. The structure/template is too complex... it can be simplified.
3. Use callable & typing to simplify flow and avoid creating objects for everything.

orprmrp

Thanks for the video Krish!
Do you have tested different software like Aim, ClearML besides MLFlow? Tbf, I just want to log experiments and save the models :D

biometricsjan

can you do a deploy in a local machine using onyl docker for example? Really good video !!!

javier

Hey Krish Naik, first of all thank you very much for the project, it is wonderful.
I also have a question, in your project where CT and CD/CI happen?

trongang

Very useful video, thank you. Can you please advise how to access the MLFlow UI when the whole thing is being run in a Docker container?

keenanandrew

Sir please bring more lectures on langchain sir apart from these videos

Tech_Enthusiasts_Shubham

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