Machine Learning Pipelines using TensorFlow Extended (TFX) Deployment with Docker

Topic: Disaster Tweets Classification Machine Learning Natural Language Processing (NLP) Tools n Tech: - TensorFlow - TensorFlow Extended - Google Colaboratory - Visual Studio Code - Docker Desktop 00:00 Opening 00:45 Project Introduction 10:20 Machine Learning Pipelines 11:04 Data Loading 13:57 Data Ingestion 14:24 Data Validation 15:10 Data Preprocessing 17:26 Hyperparameter Tuning 24:56 Model Development 29:42 Model Analysis & Evaluation 32:32 Model Export & Deployment 37:24 Project Deployment Directory 38:33 Dockerfile and Docker Desktop 40:46 Docker Build & Run 43:21 Deployment Request Testing 48:20 Closing Next Video: https://youtu.be/eo6TaBHdXo4 References: - TFX User Guide: https://tensorflow.org/tfx/guide - Dockerfile Guide: https://docs.docker.com/engine/reference/builder GitHub Repository: https://github.com/aNdr3W03/Disaster-Tweets-Classification LinkedIn: https://linkedin.com/in/andrewbjamesie

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