Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

List of some top machine learning algorithms. Just give a dive and explore the world of ML

PyLearn Practices

Chart.js plugin to calculate and draw statistical linear, exponential, power, logarithmic, and polynomial regressions.

Documentation Repository for Bug Handling in Firefox

Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈

This project demonstrates how machine learning models 🤖 can be used to predict stock prices 💹 based on historical data 📊, helping investors make informed decisions 💡.

Shiny App: Calculation of Age-dependent Reference Intervals (AdRI)

Practice and become familiar with regressions

An R Package for quickly performing regressions over many groups and evaluating leave-one-out prediction error.

a npm package to compute linear regression in javascript

This project aims to predict stock prices using Scikit-learn library and plotting a graph using Matplotlib.📈📊📉📋📆💰

ybi-internship

R files for the paper "Varieties as a Source of Law of One Price Deviations" by Fernando Borraz and Leandro Zipitría

(now superseded by MLJLinearModels)

MLRegressionsAlgorithmsO&G

Elevated Zero Maze Behavioral Data Analysis for PNN/PV Data

simpleTorchWrapper is a general framework for PyTorch classification and regression tasks. It wraps many functionalities in PyTorch to make the workflow simpler.

Data projects completed for learning and hobby purposes