FFU_VSE_Masters_Thesis_ML_Credit_Risk_Modelling
handson-ml
| FFU_VSE_Masters_Thesis_ML_Credit_Risk_Modelling | handson-ml | |
|---|---|---|
| 2 | 1 | |
| 0 | 25,156 | |
| - | - | |
| 8.5 | 0.0 | |
| about 1 year ago | 11 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | Apache License 2.0 |
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FFU_VSE_Masters_Thesis_ML_Credit_Risk_Modelling
- [TASK] Python- simple classification algorythms
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[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
handson-ml
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need a book recommendation for machine learning on python
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow is often recommended. You can check out the GitHub repo first: https://github.com/ageron/handson-ml
What are some alternatives?
surv_ai - A framework to empower forecasting using Large Language Models (LLMs)
Spotify_Song_Recommender - This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.
practical-mlops-book - [Book-2021] Practical MLOps O'Reilly Book
AeroPython - Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
ethereum-economic-model - A modular dynamical-systems model of Ethereum's validator economics
Machine-Learning-Specialization-Coursera - Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
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]
Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.
ludwig - Low-code framework for building custom LLMs, neural networks, and other AI models
python-machine-learning-book-3rd-edition - The "Python Machine Learning (3rd edition)" book code repository
weightless_NN_decompression - Proof of concept for neural network decompression without storing any weights
embedding-encoder - Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.