Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
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Updated
Sep 24, 2024 - Python
Base classes for creating scikit-learn-like parametric objects, and tools for working with them.
Quantile Regression Forests compatible with scikit-learn.
The sslearn library is a Python package for machine learning over Semi-supervised datasets. It is an extension of scikit-learn.
A garden for scikit-learn compatible trees
24/01/2024 Jeyfrey J. Calero R. Aplicación de Redes Neuronales con scikit-learn streamlit, pandas, seaborn y matplolib
Random Forest or XGBoost? It is Time to Explore LCE
A package for fitting regularized models from scikit-learn via proximal gradient descent
AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI
A scikit-learn compatible implementation of Bumping as described by “Elements of Statistical Learning” second edition (290-292).
classify anyone as either 'male' or 'female' given just their 'height', 'weight' and 'shoe size' (youtube challenge by 'Siraj Raval')
This repository contains the machine learning examples in anaconda-python
Scikit-klearn compatible BinaryEncoder class capable of handling unseen categories in an automated fashion
A python implementation of the Generative Topographic Mapping
Python wrapper around R's lovely `smooth.spline`
Machine Learning project to predict popularity of Instagram posts
Hierarchical Multi Class validation metrics:HMC-loss
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