rasbt / model-eval-article-supplementaryLinks
Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"
☆72Updated 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:
- References to the Medium articles☆86Updated 3 years ago
- Deep learning research implemented on notebooks using PyTorch.☆65Updated 4 years ago
- Applied Machine Learning with Python☆80Updated last year
- ☆151Updated 3 years ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆91Updated 2 years ago
- Introduction to MLflow with a demo locally and how to set it on AWS☆43Updated 4 years ago
- Example machine learning pipeline with MLflow and Hydra☆95Updated 2 years ago
- Best practices for engineering ML pipelines.☆36Updated 3 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated 2 weeks ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆56Updated 5 years ago
- Multi-class with imbalanced dataset classification☆84Updated 6 years ago
- Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that…☆64Updated 6 years ago
- Deep Learning with fastai Cookbook, published by Packt☆62Updated 2 weeks ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- Code repository for the book Feature engineering with Feature-engine☆14Updated last year
- How to Interpret SHAP Analyses: A Non-Technical Guide☆57Updated 4 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 3 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 4 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
- Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related☆56Updated 4 years ago
- Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…☆73Updated 4 years ago
- Hands-On One-shot Learning with Python, published by Packt☆54Updated 2 weeks ago
- Library for Multi-objective optimization in Gradient Boosted Trees☆76Updated last year
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆93Updated 3 years ago
- Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.☆51Updated 2 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆82Updated 3 years ago
- PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…☆140Updated 10 months ago
- Template for data science competitions. Includes makefiles and Python scripts for feature engineering, cross validation, ensemble, etc.☆45Updated 5 years ago