Completed
Performance Metrics
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
End to End Machine Learning Project Implementation with Dockers, GitHub Actions and Deployment
Automatically move to the next video in the Classroom when playback concludes
- 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
