An end-to-end machine learning project for NYC taxi trip
Objective: Build a machine learning productionized application to predict the ride duration of NYC taxis
Goal: To learn the end-to-end aspect of deploying machine learning models
Learnings:
- Experiment Tracking with MLFlow
- Model management with MLFlow
- Containeraize the application for reporduciblity
- Workflow orchestration
- Deploying workflow orchestration on cloud
- REST API model serving
- Testing (Code, Data and Model)
- Batch and Stream deployment methods
- Monitor model and data drift after deployment
- Estalibsh CI/CD pipeline