Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)
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Updated
Mar 7, 2024 - Julia
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
This project demonstrates how machine learning models 🤖 can be used to predict stock prices 💹 based on historical data 📊, helping investors make informed decisions 💡.
Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈
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.
This project aims to predict stock prices using Scikit-learn library and plotting a graph using Matplotlib.📈📊📉📋📆💰
a npm package to compute linear regression in javascript
R files for the paper "Varieties as a Source of Law of One Price Deviations" by Fernando Borraz and Leandro Zipitría
MLRegressionsAlgorithmsO&G
(now superseded by MLJLinearModels)
simpleTorchWrapper is a general framework for PyTorch classification and regression tasks. It wraps many functionalities in PyTorch to make the workflow simpler.
Elevated Zero Maze Behavioral Data Analysis for PNN/PV Data
Data projects completed for learning and hobby purposes
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