rasbt / model-eval-article-supplementaryLinks
Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"
☆71Updated 3 years ago
Alternatives and similar repositories for model-eval-article-supplementary
Users that are interested in model-eval-article-supplementary are comparing it to the libraries listed below
Sorting:
- ☆151Updated 3 years ago
- Applied Machine Learning with Python☆80Updated last year
- References to the Medium articles☆86Updated 3 years ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆92Updated 2 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆43Updated 4 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- Multi-class with imbalanced dataset classification☆84Updated 6 years ago
- Deep learning research implemented on notebooks using PyTorch.☆65Updated 4 years ago
- Library for Multi-objective optimization in Gradient Boosted Trees☆76Updated last year
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated last week
- Example machine learning pipeline with MLflow and Hydra☆95Updated 2 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆92Updated 3 years ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆56Updated 5 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆106Updated 2 years ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- ☆43Updated 2 years ago
- This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking a…☆53Updated 4 years ago
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆64Updated 2 years ago
- Deep Learning with fastai Cookbook, published by Packt☆60Updated last week
- Basic structure for machine learning projects☆54Updated 8 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- ☆92Updated 4 years ago
- Notebooks for a course☆41Updated 5 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 4 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 10 months ago
- AI Summer's complete catalog of articles☆112Updated 3 years ago
- A collection of PyTorch notebooks for learning and practicing deep learning☆140Updated 5 years ago
- Code repository for the book Feature engineering with Feature-engine☆14Updated last year
- Learn how to create reliable ML systems by testing code, data and models.☆89Updated 3 years ago