scikit-learn

Statistics for sci-kit learn.

Introduction to classification using machine learning and deep learning (PyTorch, TensorFlow, Keras)

examples of Applied ML

Code and data for Natural Language Processing in Action, 2nd Edition, by Maria Dyshel and Hobson Lane for Manning Publications

Relief algorithms implementation

Polynomial Regression Model single feature and multiple features using scikit-learn. check this project article on medium: https://medium.com/@alhendyrenad/build-a-polynomial-regression-model-in-python-using-scikit-learn-1b5fd31beb02

building a linear regression model using scikit learn.

Code used to process the recorded data

this project it to practice all concepts and knowledge in the course mlops-zoomcamp

Basic exercises using the scikit-learn library

PI de la Carrera de Ingeniería en Computación 2021 - FCEFyN (UNC)

Dockerized Python microservice with REST API for verbs conjugation in French, Spanish and Portuguese

Protein-Protein Docking Scoring function.

A VERY early alpha, don't use. Or use, but refactor first and send a PR.

My own implementation of Pegasos algorithm, an SVM classifier based on Stochastic Gradient Descent approach.

Example SGD classifier used to demonstrate the use of Scikit Learn in a Scott Logic blog post.