rasbt / model-eval-article-supplementary
Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"
☆67Updated 2 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
- Deep learning research implemented on notebooks using PyTorch.☆63Updated 3 years ago
- Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"☆55Updated 5 years ago
- A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)☆76Updated last year
- DS-GA 1013 Mathematical Tools for Data Science☆53Updated 3 years ago
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆89Updated last year
- Example machine learning pipeline with MLflow and Hydra☆88Updated last year
- How to Interpret SHAP Analyses: A Non-Technical Guide☆51Updated 3 years ago
- Categorical Embedder is a python package that let's you convert your categorical variables into numeric via Neural Networks☆25Updated 5 years ago
- ☆146Updated 3 years ago
- Nested cross-validation for unbiased predictions. Can be used with Scikit-Learn, XGBoost, Keras and LightGBM, or any other estimator that…☆63Updated 5 years ago
- Implementing Time Series Auto Regressive Model (AR Model) from Scratch in Python☆15Updated 3 years ago
- Multi-class with imbalanced dataset classification☆84Updated 5 years ago
- Feature Selection in Machine Learning using Python All Code☆33Updated 5 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated last year
- Basic structure for machine learning projects☆53Updated 8 years ago
- Overview of different model interpretability libraries.☆46Updated 2 years ago
- This is a repo for all the time series related notebook for AIENgineering☆1Updated 4 years ago
- Applied Machine Learning with Python☆76Updated 9 months ago
- Small Dataset Benchmarks on the Dataset of Datasets UCI++☆86Updated 2 years ago
- This repository explains machine learning concepts☆54Updated last year
- Example of implementing Isolation Forest in Python☆26Updated 6 years ago
- References to the Medium articles☆86Updated 2 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
- Jupyter Notebooks and other material from tutorial sessions on Machine Learning, Data Science, and related☆56Updated 3 years ago
- Code snippets and solutions for the Introduction to Deep Learning and Neural Networks Course hosted in educative.io☆41Updated 3 years ago
- Code repository for the book Feature engineering with Feature-engine☆14Updated 8 months ago
- Techniques to cluster very noisy data (dropouts or random noise)☆65Updated 5 years ago
- Jupyter Notebook used for writing the article "Black-Box models are actually more explainable than a Logistic Regression" published in To…☆72Updated last year
- ☆17Updated 2 years ago