practical-mlops-book
FFU_VSE_Masters_Thesis_ML_Credit_Risk_Modelling
| practical-mlops-book | FFU_VSE_Masters_Thesis_ML_Credit_Risk_Modelling | |
|---|---|---|
| 1 | 2 | |
| 817 | 1 | |
| 3.7% | - | |
| 3.4 | 8.5 | |
| 6 months ago | about 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
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practical-mlops-book
FFU_VSE_Masters_Thesis_ML_Credit_Risk_Modelling
- [TASK] Python- simple classification algorythms
-
[Hiring] Python Short task - simple classifier algorythms
Preferebly get the scripts from kaggle/github etc. one possible source to rewrite the scripts is here: https://github.com/petr-ngn/FFU_VSE_Masters_Thesis_ML_Credit_Risk_Modelling
What are some alternatives?
Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.
surv_ai - A framework to empower forecasting using Large Language Models (LLMs) [GET https://api.github.com/repos/DanielBalsam/surv_ai: 404 - Not Found // See: https://docs.github.com/rest/repos/repos#get-a-repository]
Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
market_risk_gan_keras - Using Bidirectional Generative Adversarial Networks to estimate Value-at-Risk for Market Risk Management using TensorFlow. [Moved to: https://github.com/hamaadshah/market_risk_gan_tensorflow]
aws-ml-guide - [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide
ethereum-economic-model - A modular dynamical-systems model of Ethereum's validator economics