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-en... Bappy's YouTube Channel: / @dswithbappy Bappy's LinkedIn profile: / boktiarahmed73 Bappy's Udemy: https://www.udemy.com/user/boktiar-ah... ❤️ 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

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