Scikit-learn (sklearn) projects in form of Jupyter Notebooks

A package for fitting regularized models from scikit-learn via proximal gradient descent

This repository contains the machine learning examples in anaconda-python

Contains models implemented from scratch and a project implemented from end-to-end

The code commited while the code tutorials on yt.

The "Breast Cancer Classification using Neural Networks" project focuses on predicting the presence of breast cancer using deep learning techniques. By leveraging popular Python libraries such as NumPy, Pandas, Scikit-learn, Matplotlib, and implementing neural networks.

A scikit-learn compatible implementation of Bumping as described by “Elements of Statistical Learning” second edition (290-292).

Hierarchical Multi Class validation metrics:HMC-loss

24/01/2024 Jeyfrey J. Calero R. Aplicación de Redes Neuronales con scikit-learn streamlit, pandas, seaborn y matplolib

Pipelines transformMixin that preserve the format dataframe and automation in correlation

Scikit-klearn compatible BinaryEncoder class capable of handling unseen categories in an automated fashion

Notes, tutorials, code snippets and templates focused on scikit-learn API extention for Machine Learning

The transformer that transforms data so to squared norm of transformed data becomes Mahalanobis' distance.

classify anyone as either 'male' or 'female' given just their 'height', 'weight' and 'shoe size' (youtube challenge by 'Siraj Raval')

The sslearn library is a Python package for machine learning over Semi-supervised datasets. It is an extension of scikit-learn.

A sample of often unknown and underrated functionalities in scikit learn library.

Python wrapper around R's lovely `smooth.spline`

AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI

A python implementation of the Generative Topographic Mapping