283 Open source projects that are alternatives of or similar to Regression

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

A simple machine learning framework written in Swift 🤖

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Code for Tensorflow Machine Learning Cookbook

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

Machine Learning Concepts with Concepts

A PureScript, browser-based implementation of simple linear regression.

A simple movie recommendation engine

Code for Java Deep Learning Cookbook

Simple machine learning library / 簡單易用的機器學習套件

Generalized Analog Regression Downscaling (GARD) code

cheat sheet for Artificial Intelligence

Variational Bayes linear and logistic regression

Journal-style regression tables

Implementation of a Partial Least Squares Regressor

Developed a supervised machine learning system that can estimate a country's GDP per capita using regression algorithms.

CRAN R Package: Ridge Regression with automatic selection of the penalty parameter

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

📈 Useful notes and personal collections on statistics.

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

Python code for common Machine Learning Algorithms

Stock price trend prediction with news sentiment analysis using deep learning

ICDSS Machine Learning Workshop Series: Linear Models

💪 🤔 Modern Super Learning with Machine Learning Pipelines

No description or website provided.

Various methods for generating synthetic data for data science and ML

Machine Learning Course @ Santa Clara University

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

A Julia package for estimating ARMA-GARCH models.

Predict housing prices in Portland, Oregon for selling or buying house

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

Machine Learning Lectures at the European Space Agency (ESA) in 2018

机器学习-Coursera-吴恩达- python+Matlab代码实现

Remaining Useful Life (RUL) estimation of Lithium-ion batteries using deep LSTMs

Hurdle Distributed Multinomial Regression (HDMR) implemented in Julia

Fast Best-Subset Selection Library

Fast & numerically stable statistical analysis

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

ImVisible: Pedestrian Traffic Light Dataset, Neural Network, and Mobile Application for the Visually Impaired (CAIP '19, ICCVW'19)

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

All Algorithms implemented in R

[ICML 2021, Long Talk] Delving into Deep Imbalanced Regression

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

Solve many kinds of least-squares and matrix-recovery problems

📦📊 GitHub Action to reports on the size of your npm package

[official] Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment (ACM MM 2020)

Python Machine Learning Algorithms

A Python package to build predictive linear and logistic regression models focused on performance and interpretation

This is a Project Page of 'Towards a complete 3D morphable model of the human head'

Regression, Scrapers, and Visualization

This repository contains all the programming exercises in Python for the Coursera course called "Machine Learning" by Adjunct Professor Andrew Ng at Stanford University.

An implementation of multivariate projection pursuit regression and univariate classification

Demo of basic machine learning models in python with Jupter Notebook

R Code Examples Multi-dimensional/Panel Data

A learned index structure

Basis Function Expansions for Julia

Official implementation of the paper "PIVEN: A Deep Neural Network for Prediction Intervals with Specific Value Prediction" by Eli Simhayev, Gilad Katz and Lior Rokach

Minimalistic Multiple Layer Neural Network from Scratch in Python.