Data

Tools

Indexes

Applications

Experiments

Awesome

An open API service indexing awesome lists of open source software.

Projects in Awesome Lists tagged with regression-models

A curated list of projects in awesome lists tagged with regression-models .

https://github.com/StatisticalRethinkingJulia/StatisticalRethinking.jl

Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.

julia-package mcmc regression-models statistical-rethinking

Last synced: 04 May 2025

https://github.com/nishkarshraj/100daysofmlcode

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

100daysofcode 100daysofmlcode artificial-intelligence artificial-neural-networks big-data classification classification-algorithm deep-learning generative-ai hacktoberfest linear-algebra linear-regression llm machine-learning neural-networks polynomial-regression python regression regression-models scikitlearn-machine-learning

Last synced: 15 May 2025

https://github.com/StatsReporting/stargazer

Python implementation of the R stargazer multiple regression model creation tool

latex python regression-models stargazer

Last synced: 26 Apr 2025

https://github.com/dominance-analysis/dominance-analysis

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

classification-model dominance dominance-analysis dominance-statistics feature-engineering feature-importance feature-selection keydrivers logistic-regression multiple-regression predictor predictor-importance pseudo-r-square r-square regression-models relative-importance shapley-value

Last synced: 01 May 2025

https://github.com/differential-machine-learning/notebooks

Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.

aad automatic-differentiation backpropagation computational-finance deep-learning derivatives machine-learning notebooks pricing quantitative-finance regression-models risk-magazine risk-management tensorflow

Last synced: 29 Sep 2025

https://github.com/gcarq/keras-timeseries-prediction

Time series prediction with Sequential Model and LSTM units

keras lstm machine-learning prediction regression-models

Last synced: 10 Jul 2025

https://github.com/brian-j-smith/MachineShop

MachineShop: R package of models and tools for machine learning

classification-models machine-learning predictive-modeling r regression-models survival-models

Last synced: 14 Mar 2025

https://github.com/brian-j-smith/machineshop

MachineShop: R package of models and tools for machine learning

classification-models machine-learning predictive-modeling r regression-models survival-models

Last synced: 10 Jun 2025

https://github.com/rnburn/bbai

Deterministic algorithms for objective Bayesian inference and hyperparameter optimization

bayesian-statistics gaussian-processes hyperparameter-optimization machine-learning python regression-models statistics

Last synced: 14 May 2025

https://github.com/aravind-selvam/forest-fire-prediction

Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.

classification-model data-science flask-application jupyter-notebook machine-learning ml prediction-model python regression-models sklearn

Last synced: 11 Apr 2025

https://github.com/IndrajeetPatil/broomExtra

Helpers for regression analyses using `{broom}` & `{easystats}` packages 📈 🔍

broom easystats performance-measures regression regression-analyses regression-models tidy tidy-tibbles

Last synced: 30 Jul 2025

https://github.com/luxedo/calcumlator

An intelligently dumb calculator that uses machine learning

calculations calculator machine-learning machine-learning-algorithms microservice regression-models

Last synced: 14 Apr 2025

https://github.com/ecoronado92/towards_data_science

Repo containing code for Towards Data Science articles

bayesian non-parametric python3 r regression-models topic-modeling

Last synced: 10 Sep 2025

https://github.com/majorlift/volatility-modeling-python-datasci

Undergraduate thesis, Seoul National University Dept. of Economics — "Modeling Volatility and Risk Spillover Between the Financial Markets of US and China Using GARCH Value-at-Risk Forecasting and Granger Causality."

arima-forecasting data-science data-vizualization financial-engineering garch-model granger-causality jupyter-notebook numpy pandas pyplot python3 regression-models research-paper risk-modelling scipy-stats seaborn statsmodels time-series-analysis value-at-risk volatility-modeling

Last synced: 25 Apr 2025

https://github.com/mamba413/bess

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

classification-model feature-selection poisson-regression regression-models sparse-linear-systems survival-analysis variable-selection

Last synced: 21 Mar 2025

https://github.com/ritu-thombre99/rul-prediction

Remaining useful life estimation of NASA turbofan jet engines using data driven approaches which include regression models, LSTM neural networks and hybrid model which is combination of VAR with LSTM

linear-regression logistic-regression lstm-model lstm-neural-networks phm phm-models random-forest regression regression-models remaining-useful-life rul vector-autoregression

Last synced: 21 Apr 2025

https://github.com/willbrennan/ageregression

AgeRegression tries to guess the age of a person from their photo! Its a basic example of how to use a CNN for regression in pytorch.

age-estimation convolutional-neural-networks deep-learning pytorch regression-models torchvision

Last synced: 29 Oct 2025

https://github.com/lucko515/regression-python

In this repository you can find many different, small, projects which demonstrate regression techniques using python programming language

machine-learning machine-learning-algorithms regression regression-algorithms regression-models

Last synced: 14 Apr 2025

https://github.com/blurred-machine/rnn-based-stock-price-prediction-using-lstm

This repository will consist of a Long Short-Term Memory implementation of a Recurrent Neural Network used to predict the stock prices of Google Stocks for the next working day based on their past few days opening price trends.

google-stocks lstm-neural-networks machinelearning python regression-models rnn-tensorflow stock-price-prediction

Last synced: 03 Oct 2025

https://github.com/ditikrushna/predict-sales-revenue-using-multiple-regression-model

In this project you will build and evaluate multiple linear regression models using Python. You will use scikit-learn to calculate the regression, while using pandas for data management and seaborn for data visualization. The data for this project consists of the very popular Advertising dataset to predict sales revenue based on advertising spending through media such as TV, radio, and newspaper.

data-science multiple-regression multiple-regression-analysis regression-models seaborn

Last synced: 01 Mar 2025

https://github.com/shilpakancharla/event-based-velocity-prediction-snn

Neuromorphic computing uses very-large-scale integration (VLSI) systems with the goal of replicating neurobiological structures and signal conductance mechanisms. Neuromorphic processors can run spiking neural networks (SNNs) that mimic how biological neurons function, particularly by emulating the emission of electrical spikes. A key benefit of using SNNs and neuromorphic technology is the ability to optimize the size, weight, and power consumed in a system. SNNs can be trained and employed in various robotic and computer vision applications; we attempt to use event-based to create a novel approach in order to the predict velocity of objects moving in frame. Data generated in this work is recorded and simulated as event camera data using ESIM. Vicon motion tracking data provides the ground truth position and time values, from which the velocity is calculated. The SNNs developed in this work regress the velocity vector, consisting of the x, y, and z-components, while using the event data, or the list of events associated with each velocity measurement, as the input features. With the use of the novel dataset created, three SNN models were trained and then the model that minimized the loss function the most was further validated by omitting a subset of data used in the original training. The average loss, in terms of RMSE, on the test set after using the trained model on the omitted subset of data was 0.000386. Through this work, it is shown that it is possible to train an SNN on event data in order to predict the velocity of an object in view. (Spring 2022 MS Computer Science Thesis - North Carolina State University)

event-camera neuromorphic-computing regression-models spiking-neural-networks

Last synced: 14 May 2025

https://github.com/fernandezfran/galpynostatic

:zap::battery: A Python/C++ package with physics-based and data-driven models to predict optimal conditions for fast-charging lithium-ion batteries

battery data-driven fast-charging heuristic-algorithm metrics physics-based predictions regression-models

Last synced: 07 May 2025

https://github.com/incubated-geek-cc/mindful-predictions

A Flask web app deployed and uses built Regression model to predict an individual's likelihood to seek mental healthcare treatament.

flask-application machine-learning mental-health ml-web-app predictive-analysis predictive-modeling regression-models webapp

Last synced: 11 Oct 2025

https://github.com/gdkrmr/drr

Dimensionality Reduction via Regression using Kernel Ridge Regression in R

dimensionality-reduction kernel-methods non-linear regression-models

Last synced: 21 Mar 2025

https://github.com/samadpls/goldpredictapi

FastAPI-based gold price prediction system using machine learning. Trained model and API for seamless usability. 📈🤖

api fastapi gold-price-prediction machine-learning pydantic regression-models swagger-ui

Last synced: 03 Jul 2025

https://github.com/thecoderpinar/house-price-prediction-project

🏠 This project focuses on predicting house prices using advanced regression techniques. It involves comprehensive data preprocessing, feature engineering, and model selection. The aim is to develop an accurate predictive model for real estate prices.

data-analysis data-preprocessing data-visualization deep-learning jupyter-notebook machine-learning neural-networks python regression regression-models

Last synced: 30 Apr 2025

https://github.com/atul-anand-jha/travelsaathi-flight-ticket-price

A web Application for Flight Ticket Prediction and also various user-end features(flight schedules, and Airport heat index, etc).

flight-price flight-prices flight-schedules flight-ticket flight-ticket-prediction flight-ticket-price machinelearning predictive-modeling regression-models webapp

Last synced: 07 Sep 2025

https://github.com/basiralab/Kaggle-BrainNetPrediction-Toolbox

A Python toolbox for predicting brain network (graph) evolution over time from a single observation. The codes of the 20 competing Kaggle teams along with the competition datasets are made available.

brain-connectivity-evolution brain-network connectome-prediction data-preprocessing dimensionality-reduction kaggle-competition machine-learning predictive-learning regression-models

Last synced: 01 May 2025

https://github.com/jespb/python-stdgp

An easy-to-use scikit-learn inspired implementation of the Standard Genetic Programming (StdGP) algorithm.

binary-classification classification evolutionary-algorithms evolutionary-computation genetic-programming machine-learning regression-algorithms regression-models regression-trees

Last synced: 28 Aug 2025

https://github.com/napsternxg/pubmed_selfcitationanalysis

Repository of our paper on Self-citation analysis in PubMed data

citation-analysis medline pubmed-central regression-models spark

Last synced: 20 Aug 2025

https://github.com/ararslan/betaregression.jl

Regression models for beta distributed responses in Julia

beta-distribution beta-regression julia regression-models statistics

Last synced: 17 Mar 2025

https://github.com/khaledashrafh/linear-regression

This program implements linear regression from scratch using the gradient descent algorithm in Python. It predicts car prices based on selected features and uses a dataset of cars with their respective prices.

data-preprocessing dataset feature-selection gredient-decent learning-rate linear-regression pyhton3 regression regression-models

Last synced: 12 Sep 2025

https://github.com/khaledashrafh/logistic-regression

This program implements logistic regression from scratch using the gradient descent algorithm in Python to predict whether customers will purchase a new car based on their age and salary.

activation-function cost-function data-preprocessing logistic-regression model preprocessing regression-models sigmoid sigmoid-activation sigmoid-function

Last synced: 17 Oct 2025

https://github.com/haroldeustaquio/machine-learning-projects

This repository contains Machine Learning mini-projects focused on different predictive models, from linear regression to more advanced techniques. It also includes more comprehensive end-to-end projects covering the entire ML workflow, from data preparation to model deployment.

adaptive-boosting-algorithm boosting-algorithms boostrap-aggregating end-to-end machine-learning python ramdom-forest regression-models tree-classification xgboost-algorithm xgboost-classifier xgboost-models xgboost-regression

Last synced: 14 May 2025

https://github.com/haroldeustaquio/data-mining-unam

This repository showcases projects from the Data Mining course at UNAM, Mexico. It includes analyses of customer behavior, sales transactions, and a sequence-to-sequence model for text generation based on the Harry Potter series, all developed and presented throughout the semester.

apriori-algorithm arima-model association-algorithm association-rules classification clustering decision-tree-classifier fp-growth-algorithm logistic-regression machine-learning mineria-de-datos neural-network regression-models rnn seq-to-seq seq2seq triple-exponential-smoothing unam

Last synced: 12 Sep 2025

https://github.com/shixiangwang/regport

Regression Model Processing Port

batch-processing r-package regression-models rstats

Last synced: 11 Oct 2025

https://github.com/arjun-ms/pre-owned

This web-based application uses machine learning to predict the price of used cars in India.

machine-learning python regression-models

Last synced: 06 May 2025

https://github.com/choaib-elmadi/machine-learning-specialization

A repository documenting my journey through the Machine Learning Specialization on Coursera, offered by DeepLearning.AI and Stanford Online. It contains notes, code implementations, and practical applications.

ai artificial-intelligence classification coursera deep-learning machine-learning machine-learning-algorithms ml neural-networks regression regression-models

Last synced: 05 Oct 2025

https://github.com/naveenvignesh5/election-prediction-system

R-Based Analysis System to generate election trends based on twitter data.

election mongodb r regression-models sentiment-analysis twitter

Last synced: 09 Apr 2025

https://github.com/jesussantana/ibm-data-analysis-with-python-da0101en

This course will take you from the basics of Python to exploring many different types of data.

anova correlation data-analysis model-evaluation numpy pandas prepare-data python regression-models statistics

Last synced: 17 Jul 2025

https://github.com/smehta09/simple-R-codes

Interested concepts working in R

insurance regression-models vba

Last synced: 30 Jul 2025

https://github.com/jaketae/ml-from-scratch

Machine learning algorithms implemented from scratch with NumPy

classification-algorithm clustering-algorithm from-scratch machine-learning regression-models

Last synced: 11 Oct 2025

https://github.com/richardwarepam16/car_price_predictor

This project aims to predict the Price of an used Car by taking it's Company name, it's Model name, Year of Purchase, and other parameters.

car-price-prediction data-science jupyter-notebook linear-regression machine-learning python regression-models sppu-computer-engineering

Last synced: 07 Oct 2025

https://github.com/sayambar2004/medical-premium-predictor

This is a machine learning model for prediction of medical insurance. The dataset has been taken from kaggle.

machine-learning random-forest regression-models

Last synced: 27 Oct 2025

https://github.com/chen0040/java-glm

Generalized linear models for regression and classification problems

classifier-model forecasting generalized-linear-models glm java libsvm-format regression regression-models

Last synced: 15 Aug 2025

https://github.com/jared-fowler/prettyglm

prettyglm provides a set of functions which can easily create beautiful coefficient summaries which can readily be shared and explained.

classification classification-model data-science data-visualization glm linear-models r r-package regression regression-analysis regression-model regression-models rstats rstats-package statistical-models

Last synced: 23 Apr 2025