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

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

PyLearn Practices

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

Documentation Repository for Bug Handling in Firefox

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

Linear, Polynominal, Multiple, Logistik regressions.

(now superseded by MLJLinearModels)

MLRegressionsAlgorithmsO&G

Data projects completed for learning and hobby purposes

Exhibiting results of multiple linear regressions in a table with stargazer (R package).