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Tensorflow - Gradient Boosted Trees

Published on the March 22, 2020 in IT & Programming

About this project

Open

I am looking for an individual experienced with Tensorflow to create an example Python script and tutorial for:
1. Training a Gradient Boosted Trees model with Tensorflow
2. Exporting / Saving the model for TensorFlow Serving
3.
Launching a TensorFlow Serving Docker instance

The model should be trained using standard Titanic dataset:
https://web.stanford.edu/class/archive/cs/cs109/cs109.1166/stuff/titanic.csv

Model exporting and serving should be done according to official TensorFlow documentation:
https://www.tensorflow.org/tfx/serving/serving_basic

The python script should be re-usable on other (real world) data sets.

The developer of the script may be hired for long term machine learning project and asked to build business-specific models for real-time business platform.

Category IT & Programming
Subcategory Other
Project size Small
Is this a project or a position? Project
I currently have I have specifications
Required availability As needed
API Integrations Other (Other APIs)

Delivery term: Not specified

Skills needed

HTML5 MySQL PHP

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