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Categorical machine learning microservice

I need a probability estimator running as a microservice with high availability and a response time measured in milliseconds (or less)

The training set is 150 million records, unbalanced, all features are categorical, some categories with high cardinality. The model needs to be updated daily.

I'm thinking Catboost + FastAPI + Docker / Kubernetes, but I'm open to suggestions

The dataset will be imported from mysql, but I can provide a sample csv

The project should include feature analysis, hyperparameter tuning, and assistance with installing the microservice in our servers, ie everything between providing the data and getting it up and running

Kemahiran: Python, FastAPI

Tentang Klien:
( 0 ulasan ) Madrid, Spain

ID Projek: #33792753

Dianugerahkan kepada:

(6 Ulasan)

30 pekerja bebas membida secara purata €747 untuk pekerjaan ini


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€750 EUR dalam 20 hari
(16 Ulasan)

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€750 EUR dalam 10 hari
(4 Ulasan)
(62 Ulasan)

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(76 Ulasan)
(14 Ulasan)

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(47 Ulasan)
(14 Ulasan)

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(4 Ulasan)

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(13 Ulasan)
(21 Ulasan)

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(3 Ulasan)

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(1 Ulasan)

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