39. ML Model Deployment On AWS | Step By Step

In this video we discussed about deploying ML model on AWS EC2. We followed following steps - 1. Build & Save Model 2. Write backend app.py and frontend index.html 3. Run in local 4. Create AWS account 5. Create EC2 Instance 6. Download Putty and Puttygen 7. Generate private key using puttygen with pem file 8. Download WINSCP 9. Connect with EC2 instance using Winscp, make sure to import ppk file in advance section 10. Drag & drop files from local to server 11. Connect with EC2 instance using putty 12. Use this command to download pip-- sudo apt-get update && sudo apt-get install python3-pip 13. Create security group On AWS 14. Link security group with EC2 instance 15. Install all required lib using putty with this command - pip3 install -r requirements.txt Code for this video is hosted at this GIT address - https://github.com/MandeepKharb/Youtube/tree/main/ML/AWSDeployment Complete Machine Learning Tutorial Playlist For Beginners - https://youtube.com/playlist?list=PLfFqtQvlXuWkUrMK0mjNrdPvgqvW20_L5 Parent GIT repository for all the ML Youtube videos - https://github.com/MandeepKharb/Youtube Deep Learning Playlist - https://youtube.com/playlist?list=PLfFqtQvlXuWkQeKdrYlz_7OFgz3lhXB0i Connect with me - LinkedIn - https://www.linkedin.com/in/mandeep-singh-19b70928/ Facebook- https://www.facebook.com/Data-Science-Diaries-105569608642324 ???????? YOU JUST NEED TO DO 3 THINGS to support my channel LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL

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