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GitHub topics: regression

Emilinya/OmegaOptimizer

The ultimate parameter optimizer (non-linear regression program)

Language: Rust - Size: 847 KB - Last synced at: 23 minutes ago - Pushed at: about 2 hours ago - Stars: 0 - Forks: 0

Miahy03/Machine-Learning-Algorithms-From-Scratch

๐Ÿค– Build a solid foundation in machine learning by implementing algorithms from scratch using Python and NumPy for clear understanding and practical skills.

Language: Python - Size: 180 KB - Last synced at: 23 minutes ago - Pushed at: about 2 hours ago - Stars: 0 - Forks: 0

codebytanu/usedbikepricepredictor

Machine Learning web app to predict used bike prices

Language: Python - Size: 10.7 KB - Last synced at: about 2 hours ago - Pushed at: about 3 hours ago - Stars: 0 - Forks: 0

Voto205/House-Price-Predictor

๐Ÿ  Predict house prices accurately using machine learning with this advanced model based on the Kaggle dataset for precise, data-driven insights.

Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: 32 minutes ago - Pushed at: about 3 hours ago - Stars: 0 - Forks: 0

Innocentsax/DSA_IN_JAVA

Data Structure and Algorithm in Java

Language: Java - Size: 1.24 MB - Last synced at: about 2 hours ago - Pushed at: about 4 hours ago - Stars: 19 - Forks: 3

nguyencongtri/data12

๐Ÿš€ Build scalable enterprise applications with a robust architecture that emphasizes maintainability, stability, and modern best practices.

Size: 1.3 MB - Last synced at: about 6 hours ago - Pushed at: about 7 hours ago - Stars: 0 - Forks: 0

jasp-stats/jaspRegression

The Regression Module

Language: R - Size: 15.7 MB - Last synced at: about 9 hours ago - Pushed at: about 12 hours ago - Stars: 4 - Forks: 28

Viswajith-Coder/automl

๐Ÿค– Automate machine learning tasks locally in the browser or on a server with this easy-to-use, zero-setup library for regression and classification.

Language: JavaScript - Size: 3.62 MB - Last synced at: about 10 hours ago - Pushed at: about 12 hours ago - Stars: 0 - Forks: 0

tiwariji623/power-output-prediction-ann

โšก Predict electrical power output of a Combined Cycle Power Plant using Artificial Neural Networks for accurate and efficient energy management.

Language: Jupyter Notebook - Size: 5.13 MB - Last synced at: about 14 hours ago - Pushed at: about 16 hours ago - Stars: 0 - Forks: 0

cinnamonscented-nucleoside378/power-output-prediction-ann

โšก Predict electrical power output of a Combined Cycle Power Plant using Artificial Neural Networks for enhanced efficiency and performance insights.

Language: Jupyter Notebook - Size: 3.84 MB - Last synced at: about 14 hours ago - Pushed at: about 16 hours ago - Stars: 0 - Forks: 0

aryyyy01/minimind

๐Ÿง  Simplify your machine learning workflow with MiniMind, a collection of lightweight tools designed for efficient model training and deployment.

Language: Python - Size: 26.7 MB - Last synced at: about 14 hours ago - Pushed at: about 16 hours ago - Stars: 0 - Forks: 0

Nikshay-Jain/Deep-Learning

Tensors 'flow' in nature

Language: Jupyter Notebook - Size: 199 KB - Last synced at: about 15 hours ago - Pushed at: about 16 hours ago - Stars: 0 - Forks: 0

Nikshay-Jain/Housing-Price-Predictor

Machine learning model for predicting Boston housing prices using regression techniques with comprehensive data preprocessing

Language: Jupyter Notebook - Size: 1.12 MB - Last synced at: about 15 hours ago - Pushed at: about 16 hours ago - Stars: 0 - Forks: 0

Karakarawowow/machin

Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: about 15 hours ago - Pushed at: about 17 hours ago - Stars: 0 - Forks: 0

Amir0234-afk/housing-price-prediction-DNN

Keras + NumPy baselines for housing price regression

Language: Python - Size: 7.81 KB - Last synced at: about 15 hours ago - Pushed at: about 17 hours ago - Stars: 0 - Forks: 0

Ertugruld1998/nyc-taxi-fare-prediction

๐Ÿš• Predict NYC taxi fares accurately with machine learning, incorporating rush hour analysis and inflation data from 2016 to 2025.

Language: Python - Size: 25.4 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

hubsukalp/Machine-Learning_Lab

Machine Learning Practicals

Language: Jupyter Notebook - Size: 1.53 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0

indu-explores-data/Rossmann-Sales-Prediction

This project focuses on predicting daily sales for Rossmann stores using historical data. The workflow covers end-to-end data analysis, feature engineering, and model building to deliver accurate forecasts.

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

lignum-vitae/spindalis

A bioinformatics-focused library for numerical modeling, optimisation, data analysis, and simulation written in Rust

Language: Rust - Size: 116 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 3 - Forks: 3

polygon1999/Hermes---AI

๐Ÿ›ฐ๏ธ Automate flood damage mapping and infrastructure assessment using AI-driven models for effective disaster response and recovery operations.

Language: Jupyter Notebook - Size: 4.2 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

Maxeats12/car-price-predictor-using-ml

๐Ÿš— Predict car prices using advanced machine learning techniques for high accuracy and real-time insights. Explore our effective regression models.

Language: Python - Size: 1.3 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

mhdee740/insurance-charges-prediction-linear-regression

Predict insurance charges with linear regression; Python project offers a concise EDA-to-model workflow with feature engineering, training, and evaluation ๐Ÿ™.

Language: Jupyter Notebook - Size: 1.35 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

Zulkchulo/Ecommerce-Sales-Transaction-Data-Regression-and-EDA

๐Ÿ“Š Build a regression model to predict e-commerce sales, utilizing EDA, feature engineering, and visualization for optimal insights and decision-making.

Language: Python - Size: 5.19 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

SJ2005-code/rossmann_sales_forecast

Forecast daily sales for Rossmann stores using XGBoost. Leverage historical data and store metadata for accurate predictions. ๐Ÿ“Š๐ŸŒŸ

Language: Jupyter Notebook - Size: 301 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

at-tan/Cracking_Ames_Housing_OLS ๐Ÿ“ฆ

Linear regression modelling of the Ames housing dataset, with the goal of predicting the house sale price, as published in Towards Data Science on Medium.com

Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 10 - Forks: 4

misbahiradat/ANN_Regression

Our PyTorch project simplifies multi-output regression tasks. It's equipped with a flexible ANN architecture, automated activation functions, and versatile loss functions. Easily train, evaluate, and visualize models, with room for future enhancements.

Language: Jupyter Notebook - Size: 12.7 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 3 - Forks: 0

Abdulbaqi78692/house-price-prediction

๐Ÿ  Predict house prices accurately using machine learning with Python and Flask in this complete end-to-end project.

Language: Python - Size: 1.31 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

Victorgame59/student-score-prediction

๐ŸŽ“ Predict student exam scores using machine learning regression models with a focus on multi-variable analysis and feature selection for accurate results.

Language: Jupyter Notebook - Size: 2.86 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

Rizasaurus/Car-price-prediction-exercise-with-regression-model

Car price forecasting with one-variable, two-variable, three-variable, lasso, ridge, and elastic regression models

Size: 1.95 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

martinxnz123/machine-learning-zoomcamp

๐Ÿค– Learn machine learning engineering, from basic concepts to deployment, through a hands-on course designed for practical skills and community support.

Language: Jupyter Notebook - Size: 6.03 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

CODEMONING/Wine-Quality-Prediction

This project aims to predict wine quality based on physicochemical properties. Using machine learning models including Random Forest and Gradient Boosting Classifier, this analysis identifies key factors affecting wine quality and builds a predictive model to classify wines.

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 1

ottenbreit-data-science/aplr

APLR builds predictive, interpretable regression and classification models using Automatic Piecewise Linear Regression. It often rivals tree-based methods in predictive accuracy while offering smoother and interpretable predictions.

Language: C++ - Size: 7.85 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 21 - Forks: 5

shankarpandala/lazypredict

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

Language: Python - Size: 25.8 MB - Last synced at: 3 days ago - Pushed at: 15 days ago - Stars: 3,250 - Forks: 363

SepAbs/Polynomial-Regressors-from-Scratch

Implemented polynomial regression with Ridge regularization and perceptron-based hyperplane classifiers.

Language: Jupyter Notebook - Size: 2.84 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Chau2873/UIU-DataMining-Lab

๐Ÿ“Š Explore data mining concepts and hands-on Python examples with exercises for the UIU Data Mining Course. Enhance your skills in ML and data visualization.

Language: Jupyter Notebook - Size: 396 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

danuah/prices-predictor-system

๐Ÿ“ˆ Predict future prices using this efficient system, enabling informed decisions in finance and investment sectors.

Size: 1.29 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

KefaMensch/IMDB_Prediction

IMDB Prediction Model Using Machine Learning

Language: Jupyter Notebook - Size: 8.96 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

artefactory/woodtapper

WoodTapper โ€” a Python toolbox for interpretable and explainable tree ensembles.

Language: Python - Size: 2.92 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 2 - Forks: 0

gamlj/gamlj

GAMLj: GLM, Mixed, Generalized and Generalized mixed models for jamovi

Language: R - Size: 183 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 40 - Forks: 13

alibaba/Alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

Language: Java - Size: 18 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 3,614 - Forks: 799

Mansur090909/Drug_Potency_PredictionML

Allows users to investigate a target protein / disease, and generate a machine learning model to predict potency in any compound (in SMILES format) against that target as represented by the pIC50 metric.

Language: Python - Size: 226 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

apachecn/ailearning

AiLearning๏ผšๆ•ฐๆฎๅˆ†ๆž+ๆœบๅ™จๅญฆไน ๅฎžๆˆ˜+็บฟๆ€งไปฃๆ•ฐ+PyTorch+NLTK+TF2

Language: Python - Size: 163 MB - Last synced at: 3 days ago - Pushed at: 12 months ago - Stars: 41,626 - Forks: 11,596

quavo32/daywise

DayWise: A personal productivity and time management application that helps you organize your daily tasks, track your progress, and maximize your efficiency. Built with modern technologies to provide a seamless user experience across devices.

Language: HTML - Size: 114 KB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 2

Ansh118/ML_House_Prediction

project for house price prediction using Classification & Regression models. Includes Docker setup for easy deployment.

Language: Jupyter Notebook - Size: 7.77 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

sfcheung/betaselectr

Do selective standardization in structural equation models and regression models

Language: R - Size: 6.45 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 1

dr-mushtaq/Machine-Learning

A complete A-Z guide to Machine Learning and Data Science using Python. Includes implementation of ML algorithms, statistical methods, and feature selection techniques in Jupyter Notebooks. Follow Coursesteach for tutorials and updates.

Language: Jupyter Notebook - Size: 52.1 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 46 - Forks: 23

Shreyarobin/Early-Prediction-of-Battery-Lifetime

Machine-learning project to estimate battery Remaining Useful Life (RUL). Trains multiple regression models, blends them via stacked ensembling, and exposes predictions through a lightweight Gradio UI.

Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

HarshitWaldia/Predictive-Analytics-Solutions

This portfolio showcases two data science projects: predicting manufacturing team efficiency using operational data, and predicting e-commerce conversion rates using web session data. Includes data cleaning, feature engineering, model selection, and evaluation.

Language: Jupyter Notebook - Size: 14.5 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2 - Forks: 0

Temistar/30-days-of-ML-and-DL

My personal projects of re-learning machine learning and deep learning algorithms

Language: Jupyter Notebook - Size: 16.8 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

RubixML/ML

A high-level machine learning and deep learning library for the PHP language.

Language: PHP - Size: 33.4 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2,167 - Forks: 194

indu-explores-data/Car-Price-Prediction

A machine learning project that predicts car prices using ensemble models โ€” Random Forest and Gradient Boosting. Includes data preprocessing, feature importance analysis, and model comparison using MAE, RMSE, and Rยฒ metrics to evaluate and optimize predictive performance.

Language: Jupyter Notebook - Size: 627 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

pravinkumarelangovan/ml-from-scratch

๐Ÿ” Explore machine learning by building algorithms from scratch in Python, comparing results with existing libraries, and enhancing your understanding.

Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 1

jolars/sortedl1

Python package for Sorted L-One Penalized Estimation (SLOPE)

Language: C++ - Size: 1.88 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2 - Forks: 1

AqwamCreates/DataPredict

Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains Over 65 Models!

Language: Lua - Size: 27.4 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 10 - Forks: 3

eloy13rayo/st-kjv-vis

A collection of King James Version (KJV) Bible analysis and visualization

Size: 1.95 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2 - Forks: 0

Ork18-creator/Mobile-Price-Prediction-Regression-Analysis

This project demonstrates how regression models can be leveraged not only to predict the price range of mobile phones but also to support strategic business decisions in the mobile industry.

Language: Python - Size: 876 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

JuliaStats/MultivariateStats.jl

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Language: Julia - Size: 1.55 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 387 - Forks: 84

diegopacheco/ai-playground

AI POCS: ML, NLP, LLM, Vision, Classification, clustering, GenAI, Transformers, PyTorch, Keras, All things AI POCS.

Language: Jupyter Notebook - Size: 166 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 11 - Forks: 6

AdrianAntico/AutoQuant

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

Language: R - Size: 804 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 246 - Forks: 43

noemicherchi/Data-mining-project

Data Mining and Machine Learning project: using regression and classification to analyze music popularity across borders

Language: Jupyter Notebook - Size: 40.5 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 1

kreutzr/responsediff

Supports regression testing and test maintenance for REST APIs. Allows usage of variables read from responses and mass data.

Language: Java - Size: 1.4 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

shalinikumari37090-source/ml-models

this repository contains some finely curated machine learning models which very well performs on a given dataset. The dataset used here is again cleaned and preprocessed by me and have good space for data visualization if needed.

Language: Jupyter Notebook - Size: 4.69 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

Sellifake/Steel_Data_Analys

็ฝฉๅผ้€€็ซๆธฉๅบฆๆ›ฒ็บฟ็‰นๅพๅˆ†ๆž

Language: Python - Size: 2.4 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

mlr-org/mlr3learners

Recommended learners for mlr3

Language: R - Size: 12.9 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 96 - Forks: 20

JuliaAI/MLJ.jl

A Julia machine learning framework

Language: Julia - Size: 46.9 MB - Last synced at: 5 days ago - Pushed at: 9 days ago - Stars: 1,879 - Forks: 156

iloveitaly/pytest-playwright-visual-snapshot

Easy pytest visual regression testing using playwright

Language: Python - Size: 298 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 7 - Forks: 4

christinelangston/UCL_dissertation

Masters Dissertation data analysis: Trends in House Production and Climate Risk in Texas

Language: HTML - Size: 54.1 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

Shubham91999/SML_Regression-Classification

Implementation and visualization of core Machine Learning algorithms โ€” Linear Regression, Gradient Descent, and Logistic Regression

Language: Jupyter Notebook - Size: 1.11 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

xmed-lab/CardiacCLIP

[MICCAI 2025] CardiacCLIP: Video-based CLIP Adaptation for LVEF Prediction in a Few-shot Manner

Language: Jupyter Notebook - Size: 5.42 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 5 - Forks: 0

abdurtutul/LincolnPacker-Kickback-Web-Application

LincolnPacker (Kickback) is a web application that mirrors the mobile experience for a lead marketplace connecting sellers (lead submitters) and buyers (contractors). It supports auto-payment flows, Stripe Connect integration, wallets & payouts, admin-ready structure, and scalable architecture for future features.

Size: 3.61 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

FR34KY-CODER/Machine-Learning-Journey

Daily Machine Learning journey โ€” A consistent log of my progress as I commit every single day to learning and building in the field of ML.

Language: Jupyter Notebook - Size: 11.1 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 0

boubione/lightgbm-beaglebone

A minimal, stripped-down version of LightGBM optimized for edge devices running Debian 10, with no SciPy dependency. Perfect for embedded ARM systems like BeagleBone.

Language: Python - Size: 2.16 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 1

Aashishh1/Car-Price-Prediction

Predict car prices using Linear Regression ๐Ÿ“ & Random Forest ๐ŸŒณ

Language: Jupyter Notebook - Size: 862 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

pedbrgs/UCI-Dataset-Crawler

Python scraper and downloader for the UCI Machine Learning Repository.

Language: Python - Size: 10.7 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

ai-on-browser/ai-on-browser.github.io

Machine learning and data analysis package implemented in JavaScript and its online demo.

Language: JavaScript - Size: 23.9 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 18 - Forks: 3

mlr-org/mlr3

mlr3: Machine Learning in R - next generation

Language: R - Size: 40.7 MB - Last synced at: 4 days ago - Pushed at: 9 days ago - Stars: 1,037 - Forks: 95

Pakgamessss/River_Discharge_Regression

๐Ÿ’ง Forecast river discharge using machine learning with optimized ensemble models for accurate next-day predictions and flexible time series applications.

Language: Python - Size: 4.1 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

utaei/data12

๐Ÿ“ฑ Build responsive designs with the data12 framework for mobile-first applications, enhancing performance, security, and functionality effortlessly.

Size: 15.6 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

kyopark2014/ML-Algorithms

It summerizes the algorithms of Machine Learning.

Language: Jupyter Notebook - Size: 175 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 11 - Forks: 0

Lexie000/Car_price_regression_analysis

Predicting used-car prices with regression models: EDA, feature engineering, model comparison (e.g., Linear/Ridge/Lasso/Tree-based), and a concise report.

Size: 4.04 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Testial/bike_sharing_regression_final_work

This project analyzes London bike-sharing data to build and diagnose linear regression models to explain and predict bike rental counts. This is the final math work of the MTS School of Data Analysts.

Language: Jupyter Notebook - Size: 894 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Uttam-Mahata/Machine-Learning-LAB

A comprehensive collection of machine learning experiments and assignments covering fundamental to advanced concepts in supervised learning, deep learning, and neural networks.

Language: Jupyter Notebook - Size: 21.5 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

sylvaticus/BetaML.jl

Beta Machine Learning Toolkit

Language: Julia - Size: 34.4 MB - Last synced at: 7 days ago - Pushed at: 11 days ago - Stars: 104 - Forks: 14

mlpack/mlpack

mlpack: a fast, header-only C++ machine learning library

Language: C++ - Size: 263 MB - Last synced at: 6 days ago - Pushed at: 8 days ago - Stars: 5,512 - Forks: 1,671

biolab/orange3

๐ŸŠ :bar_chart: :bulb: Orange: Interactive data analysis

Language: Python - Size: 97.9 MB - Last synced at: 6 days ago - Pushed at: 8 days ago - Stars: 5,447 - Forks: 1,073

jarif87/machine-learning-notebooks

A collection of practical machine learning projects and notebooks covering key topics like regression, classification, clustering and feature engineering.More projects and tutorials will be added regularly to help you learn and apply ML techniques.

Language: Jupyter Notebook - Size: 107 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 3 - Forks: 0

tvarichak/Machine_Learning

๐Ÿง  Explore machine learning with Python through hands-on projects, data preprocessing, model development, and interpretability techniques for AI applications.

Language: Jupyter Notebook - Size: 14.9 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

aminSa-21/automl

๐Ÿค– Simplify machine learning with automlโ€”a local, browser-based tool for regression and classification using advanced algorithms like Decision Trees and Gradient Boosting.

Language: JavaScript - Size: 3.62 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

bahirdar15/openai-goatkill-report

๐Ÿชฆ Document the decline of GPT-4 and expose OpenAI's efforts to suppress knowledge about its degradation and impact on users.

Size: 1.3 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

ryantusi/AI-ML-Engineering

46 projects on a full spectrum of Advanced Data Science, AI, Machine Learning, Deep Learning skills, including EDA, Data Visualization, traditional ML Fundamentals (Regression, Classification, Clustering, Ensemble methods) using TensorFlow/Keras, PyTorch, Scikit-Learn, Pandas, NumPy, & more, implemented in Python scripts & Jupyter Notebooks.k

Language: Jupyter Notebook - Size: 1.79 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 2 - Forks: 0

cair/tmu

Implements the Tsetlin Machine, Coalesced Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, and Weighted Tsetlin Machine, with support for continuous features, drop clause, Type III Feedback, focused negative sampling, multi-task classifier, autoencoder, literal budget, and one-vs-one multi-class classifier. TMU is written in Python with wrappers for C and CUDA-based clause evaluation and updating.

Language: Python - Size: 300 MB - Last synced at: 5 days ago - Pushed at: 2 months ago - Stars: 157 - Forks: 30

vicky999jeevi/AI-Code-Explainer-Optimizer

๐Ÿงฉ Optimize and explain code effortlessly with our AI-driven multi-agent system, using LangGraph and Gemini for efficient solutions.

Language: Python - Size: 5.73 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

eric15342335/maimai-dx-regression

predicting maimai DX Achievement rate

Language: HTML - Size: 7.94 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

thejvdev/ml-from-scratch

Repository for Implementing ML Models from Scratch in Python

Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

ooples/AiDotNet

A new library for all of the newest ai algorithms

Language: C# - Size: 10.5 MB - Last synced at: 4 days ago - Pushed at: 7 days ago - Stars: 33 - Forks: 7

bashtage/linearmodels

Additional linear models including instrumental variable and panel data models that are missing from statsmodels.

Language: Python - Size: 167 MB - Last synced at: 8 days ago - Pushed at: 11 days ago - Stars: 1,010 - Forks: 187

unfoldtoolbox/Unfold.jl

Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia

Language: Julia - Size: 74.4 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 63 - Forks: 14

Loesgar/mvsr

Library for Fast Segmented Regression

Language: Python - Size: 46.1 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 2 - Forks: 0

H0NEYP0T-466/AI_PRATICE

๐Ÿš€ A hands-on AI/ML playground ๐Ÿค–๐Ÿ“Š โ€” from NumPy, Pandas & Matplotlib basics to Supervised ML (Regression, Classification, SVM, Random Forest) and Unsupervised ML (Clustering, Dim. Reduction, Association Rules). Real-world projects ๐Ÿ›’๐Ÿ“ˆ with rich visual outputs ๐ŸŽจ โ€” AI made practical.

Language: Python - Size: 71.9 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 4 - Forks: 0

jinseob2kim/jstable

Regression Tables from 'GLM', 'GEE', 'GLMM', 'Cox' and 'survey' Results.

Language: R - Size: 12.4 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 31 - Forks: 18

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regression 6,369 machine-learning 3,078 python 1,796 classification 1,518 data-science 958 linear-regression 580 deep-learning 527 pandas 501 scikit-learn 499 clustering 477 random-forest 463 machine-learning-algorithms 388 r 385 numpy 382 statistics 362 regression-models 357 data-analysis 354 neural-network 337 data-visualization 314 jupyter-notebook 313 sklearn 301 supervised-learning 286 logistic-regression 284 matplotlib 255 xgboost 251 tensorflow 247 prediction 246 python3 245 feature-engineering 202 decision-trees 202 ml 201 exploratory-data-analysis 200 neural-networks 181 regression-analysis 180 eda 175 keras 172 seaborn 171 svm 169 artificial-intelligence 160 ai 156 time-series 156 nlp 153 kaggle 153 pytorch 145 knn 138 predictive-modeling 129 unsupervised-learning 128 visualization 123 streamlit 116 pca 115 cnn 105 machinelearning 103 decision-tree 102 flask 101 ridge-regression 97 lasso-regression 96 natural-language-processing 91 data 89 gradient-descent 86 reinforcement-learning 86 polynomial-regression 84 regression-algorithms 83 cross-validation 82 deep-neural-networks 80 feature-selection 79 forecasting 78 house-price-prediction 77 algorithms 75 convolutional-neural-networks 73 gradient-boosting 73 kaggle-competition 73 computer-vision 71 dimensionality-reduction 71 linear 69 datascience 69 hypothesis-testing 68 analysis 65 data-mining 64 lstm 61 optimization 61 correlation 61 ensemble-learning 60 data-preprocessing 59 scipy 57 matlab 57 kmeans-clustering 55 time-series-analysis 54 statistical-analysis 54 support-vector-machines 54 lightgbm 53 hyperparameter-tuning 52 gaussian-processes 52 prediction-model 52 dataset 51 artificial-neural-networks 51 price-prediction 50 random-forest-regression 49 matplotlib-pyplot 49 preprocessing 48 modeling 48