Day 1 - Project Introduction & Setup | MLOPs Production Ready Machine Learning Project

Рет қаралды 9,074

Күн бұрын

🚀MLOps Production Ready Machine Learning Project 🚀
🚀 Welcome to our comprehensive guide on creating a production-ready machine learning project using MLOps! In this video, we will walk you through every step needed to successfully deploy and manage your machine learning models in a production environment.
📌Code: github.com/ent...
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This channel focuses on providing content on Data Science, Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Natural language processing, Python programming, etc. in Bangla and English.
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Пікірлер: 28

@moshiurrahman6925 Күн бұрын

Bro, u r simply amazing. Inn Shaa Allah one day u will shine. just move on my dear younger bro. wish you a great success in future days to come. (sorry, I m logged in with the email of my younger bro).

@dswithbappy Күн бұрын

Thanks a ton

@utkar1 3 ай бұрын

07:13 - Prerequisites 13:56 - Setup 19:57 - Project discussion 24:42 - Problem statement 27:22 - Features 28:14 - Solution scope 29:04 - Solution approach 31:56 - Solution proposed 35:19 - Project setup 36:08 - MongoDB setup 37:24 - Github repository setup 41:50 - Folder structure setup 01:20:38 - requirements.txt

@aliaamir9778 3 ай бұрын

dear Bappy , i also saw that you are part of ineuron team along with krish naik sahab, just wanted to request to please take one multivariate timeseries regression problem and solve it as a end to end MLOPS deep learning project, because i am only able to explore all of your and krish naik projects based on computer vision and machine learning, but anyhow i really appreciate your efforts , this is rare content on youtube. Love from Pakistan,

@akashjoy.V1 3 ай бұрын

Thank you brother. Excellent content. Can you please drop a schedule to something before you go live so that we can be ready ?

@jatinsareen7771 3 ай бұрын

Great session!! But why did you leave ineuron and why others are also leaving it?? will ineuron get closed??

@LomeshSoni-h2i 2 ай бұрын

THanks for the session. Its very informative. I just have one question. Is this the way how companies setup the things and have these folders for the codebase while working on real world problems

@mahetsiedahi6530 2 ай бұрын

thnks Bappy for your contribution, you have a great way of explaining, it motivates me to keep learning and overcome certain fears professionally. I hope you continue sharing knowledge and thank you again for the inspiration...Greetings from Mexico!

@dswithbappy 2 ай бұрын

You are very welcome

@utkar1 3 ай бұрын

Thanks Bappy, appreciate your efforts! Looking forward to the next one!

@dswithbappy 3 ай бұрын

Thanks :)

@mechxp-pb3en 12 күн бұрын

bro i have now understood what all this you are genious

@dswithbappy 12 күн бұрын

😍

@binnypero6431 2 ай бұрын

54:25 - Importance of project organization and folder structure. 01:00:47 - Creating a project folder structure automatically using Python scripts. 01:01:01 - Creation of essential components like configuration and constants. 01:03:16 - Differences in path handling between operating systems. 01:08:04 - Automation through scripts to reduce manual effort. 01:10:51 - Introduction of a website for creating flowcharts and the tool Evidently. 01:11:14 - Creating diverse flowcharts for better understanding data workflows. 01:13:22 - Evidently for monitoring AI applications and detecting data discrepancies. 01:14:39 - Focused approach in using ML tools for project simplicity. 01:20:55 - Guide on using Git commands and creating a Python environment. 01:20:56 - Demonstration of basic Git commands for version control. 01:21:11 - Discussion on creating a project environment with conda. 01:22:40 - Installation of necessary packages for the project. 01:30:59 - Importance of understanding Python's stable versions. 01:31:13 - Release cycle of Python versions and their support. 01:34:39 - Incorporating CI/CD tools like GitHub Actions and Jenkins. 01:38:40 - Importance of coding in environments like Jupyter notebooks. 01:03 - Mastering modular coding in Python for machine learning projects. 01:52 - Importance of installing packages like XGBoost and CatBoost. 06:02 - Plans to integrate Jenkins into future projects. 07:43 - Significance of setting up a proper development environment. 01:55:42 - Exploration in learning to broaden knowledge. 01:58:44 - Importance of GitHub for sharing code and collaboration. 01:58:51 - Practical application of learned skills through hands-on projects. 01:59:09 - Upcoming sessions on MongoDB setup and data management.

@kashifsadiq4145 3 ай бұрын

Sir plzzz more focus on ops or deployment part. Kubeflow. Air flow kubernetes seldon monitoring Kserve

@soumyajitsahu3972 3 ай бұрын

can you please start genai project parallely . Thank you for your so much valuable videos. Your Videoes are so valuable somuch details.

@sumankumar01 3 ай бұрын

@dswithbappy You have not instructed to activate Conda environment inside git bash. none of the python commands would run. Please add that part in the video.