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Creating A FLASK Web Application
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Classroom Contents
End to End Machine Learning Project Implementation with Dockers, GitHub Actions and Deployment
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- 1 Understanding the dataset
- 2 Preparing Dataset And Basic Analysis
- 3 Preparing Dataset For Model Training
- 4 Training The Model
- 5 Performance Metrics
- 6 Prediction Of New Data
- 7 Pickling the model file
- 8 Setting Up Github And VS Code
- 9 Tools And Software Required
- 10 Creating A New Environment
- 11 Setting up Git
- 12 Creating A FLASK Web Application
- 13 Running An Testing our application
- 14 Prediction From Front End Application
- 15 Procfile for Heroku Deployment
- 16 Deploying The App To Heroku
- 17 Deploying The App Using Dockers
