Machine-Learning
nyc_traffic_flask
| Machine-Learning | nyc_traffic_flask | |
|---|---|---|
| 1 | 2 | |
| 406 | 2 | |
| - | - | |
| 0.0 | 7.4 | |
| 3 months ago | 9 months ago | |
| Python | Python | |
| MIT License | - |
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Machine-Learning
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Visualization of ML Algorithms
Link to GitHub: here
nyc_traffic_flask
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Where to incorporate MLops into my project?
I have an on/off data science project that uses ML to predict traffic. Lately, I've been wanting to practice more of the Software dev side of data science like DE and MLops. I'm wondering if there's any ways to potentially inject elements of MLops into said project, just for the sake of practice.
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I made a Flask app that predicts traffic in an NYC Street.
https://github.com/benduong2001/nyc_traffic_flask Lemme know if it works.
What are some alternatives?
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