MLOps Pipeline with Python, AWS, Docker – YouTube Viewer Sentiment

This comprehensive course teaches you to build an end-to-end MLOps pipeline that analyzes YouTube sentiment in real-time through a Chrome extension. You'll master modern ML tools like MLflow, DVC, Docker, and AWS while developing a complete solution from data collection to deployment. You'll gain hands-on experience with real-world ML engineering and MLOps practices.

Code: https://github.com/entbappy/End-to-end-Youtube-Sentiment

Bappy's YouTube Channel: https://www.youtube.com/@dswithbappy
Bappy's LinkedIn profile: https://www.linkedin.com/in/boktiarahmed73/
Bappy's Udemy: https://www.udemy.com/user/boktiar-ahmed-bappy/

❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvented interactive learning: https://scrimba.com/freecodecamp

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction & Project Planning
⌨️ (0:19:52) Data Collection
⌨️ (0:21:28) Data Preprocessing & EDA
⌨️ (0:41:43) Setup MLFlow Server on AWS
⌨️ (0:57:34) Building Baseline Model
⌨️ (1:06:25) Improving Baseline Model - BOW, TFIDF
⌨️ (1:14:56) Improving Baseline Model - Max features
⌨️ (1:20:55) Improving Baseline Model - Handling Imbalanced Data
⌨️ (1:26:54) Improving Baseline Model - Hyperparameter tuning with Multiple Improving Baseline Model
⌨️ (1:32:13) Stacking Models
⌨️ (1:34:14) Building an ML Pipeline using DVC
⌨️ (1:38:22) Data Ingestion Component
⌨️ (1:46:01) Data Preprocessing Component
⌨️ (1:48:11) Model Building Component
⌨️ (1:52:28) Model Evaluation Component with MLFlow
⌨️ (1:59:58) Model Register Component with MLFlow
⌨️ (2:02:42) Flask API Implementation
⌨️ (2:14:20) Implementation of Chrome Plugin
⌨️ (2:24:27) Adding Docker
⌨️ (2:25:46) CICD Deployment on AWS

🎉 Thanks to our Champion and Sponsor supporters:
👾 Drake Milly
👾 Ulises Moralez
👾 Goddard Tan
👾 David MG
👾 Matthew Springman
👾 Claudio
👾 Oscar R.
👾 jedi-or-sith
👾 Nattira Maneerat
👾 Justin Hual

--

Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news Receive SMS online on sms24.me

Watch on YouTube

Subscribe on YouTubeReaderBot

TubeReader video aggregator is a website that collects and organizes online videos from the YouTube source. Video aggregation is done for different purposes, and TubeReader take different approaches to achieve their purpose.

Our try to collect videos of high quality or interest for visitors to view; the collection may be made by editors or may be based on community votes.

Another method is to base the collection on those videos most viewed, either at the aggregator site or at various popular video hosting sites.

TubeReader site exists to allow users to collect their own sets of videos, for personal use as well as for browsing and viewing by others; TubeReader can develop online communities around video sharing.

Our site allow users to create a personalized video playlist, for personal use as well as for browsing and viewing by others.

@YouTubeReaderBot allows you to subscribe to Youtube channels.

By using @YouTubeReaderBot Bot you agree with YouTube Terms of Service.

Use the @YouTubeReaderBot telegram bot to be the first to be notified when new videos are released on your favorite channels.

Look for new videos or channels and share them with your friends.

You can start using our bot from this video, subscribe now to MLOps Pipeline with Python, AWS, Docker – YouTube Viewer Sentiment

What is YouTube?

YouTube is a free video sharing website that makes it easy to watch online videos. You can even create and upload your own videos to share with others. Originally created in 2005, YouTube is now one of the most popular sites on the Web, with visitors watching around 6 billion hours of video every month.