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:
- References to the Medium articles☆87Updated 2 years ago
- Applied Machine Learning with Python☆80Updated last year
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆56Updated 5 years ago
- Code repository for the book Feature engineering with Feature-engine☆14Updated last year
- Deep learning research implemented on notebooks using PyTorch.☆64Updated 3 years ago
- ☆151Updated 3 years ago
- Library for Multi-objective optimization in Gradient Boosted Trees☆77Updated last year
- 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
- Introduction to MLflow with a demo locally and how to set it on AWS☆42Updated 4 years ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆89Updated 2 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆244Updated last year
- Best practices for engineering ML pipelines.☆35Updated 3 years ago
- Example machine learning pipeline with MLflow and Hydra☆92Updated 2 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆107Updated 3 years ago
- Feature Selection in Machine Learning using Python All Code☆35Updated 6 years ago
- Learn how to monitor ML systems to identify and mitigate sources of drift before model performance decay.☆89Updated 2 years ago
- Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that…☆64Updated 5 years ago
- A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras☆46Updated 2 weeks ago
- Code used to obtain results for my medium articles☆75Updated 2 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆118Updated 2 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆90Updated last year
- AI Summer's complete catalog of articles☆112Updated 3 years ago
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated last year
- Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications☆53Updated 5 years ago
- Deep Learning with fastai Cookbook, published by Packt☆59Updated 4 years ago
- This workshop was done as a part of the 1729 conference organized by Fractal Analytics and Analytics Vidhya. Key content covered was hand…☆21Updated 3 years ago
- DS-GA 1013 Mathematical Tools for Data Science☆52Updated 4 years ago
- PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…☆135Updated 6 months ago
- This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking a…☆53Updated 3 years ago
- ☆43Updated last year