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- Writing DVC file for tracking piplines
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Classroom Contents
End to End Deep Learning Project Using MLOPS DVC Pipeline With Deployments Azure and AWS - Krish Naik
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- 1 - Introduction
- 2 - Project Introduction
- 3 - Prerequisite
- 4 - Problem Statement Chicken Disease
- 5 - Project Demo
- 6 - Github Repository Setup
- 7 - Project Template Creation
- 8 - Requirements Installation & Project Setup
- 9 - Logging, Exception & Utils Modules
- 10 - Project Workflows
- 11 - Data Ingestion Notebook Experiment
- 12 - Data Ingestion Final Implementation
- 13 - Prepare Base Model Notebook Experiment
- 14 - Prepare Base Model Final Implementation
- 15 - Prepare Callbacks Notebook Experiment
- 16 - Prepare Callbacks Final Implementation
- 17 - Model Trainer Notebook Experiment
- 18 - Model Trainer Final Implementation
- 19 - Model Evaluation Notebook Experiment
- 20 - Model Evaluation Final Implementation
- 21 - Writing DVC file for tracking piplines
- 22 - Prediction Pipeline & User App
- 23 - Project CI/CD Deployment on AWS
- 24 - Project CI/CD Deployment on Azure
