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https://github.com/victordibia/cml_taxi


https://github.com/victordibia/cml_taxi

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README

          

# Taxi Fare Prediction
This repo demonstrate steps in examples on how production ML pipelines can be orchestrated using platforms like Google Compute Platform.

## Architecture and Components

![System Architecture](docs/images/taxiarchitecture.png)

- Data [New York Taxi Cab](https://www1.nyc.gov/site/tlc/about/tlc-trip-record-data.page)
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## TODOs

Initial high level list of tasks:

- [ ] Data exploration: Explore interesting data insights, data transformation tasks etc
- [ ] Model Training: Explore a set of models, automated hyperparameter search, distributed training, model evaluation etc
- [ ] Model Serving: Promoting good models to production, serving predictions over an api enddpoint
- [ ] Front end: User interface for exploring predictions.