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GitHub topics: regression-algorithms

micahondiwa/applied-data-science

A collection of 8 Applied Data Science projects.

Language: Jupyter Notebook - Size: 46 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 2 - Forks: 2

KefaMensch/IMDB_Prediction

IMDB Prediction Model Using Machine Learning

Language: Jupyter Notebook - Size: 8.96 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

bejranonda/climate-predicton-model

Numerical Computational Research (2009–2015): Developed and validated a comprehensive suite of prediction and statistical downscaling methods for short- and long-term projections of climate, water resources, and their associated impacts.

Language: R - Size: 11.2 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

juliaathar/house-princing-mlops

Language: Jupyter Notebook - Size: 207 KB - Last synced at: 3 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

SarahiJLeura/Regression-Methods-Time-Series-Analysis

A concise introduction and Python implementation of various regression methods, including: Linear, Polynomial, Fourier, Splines, Kernel, GRNN

Size: 61.5 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

chaffybird56/PixelWeave

reconstructs full‑color images from a sensor mosaic

Language: MATLAB - Size: 635 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

closest-git/LiteMORT

A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.

Language: C++ - Size: 1.47 MB - Last synced at: 15 days ago - Pushed at: over 5 years ago - Stars: 56 - Forks: 9

Ooples-Finance-LLC/AiDotNet

A new library for all of the newest ai algorithms

Language: C# - Size: 10.9 MB - Last synced at: 12 days ago - Pushed at: 17 days ago - Stars: 30 - Forks: 7

alessandroragano/scoreq

SCOREQ: Speech COntrastive REgression for Quality Assessment (NeurIPS 2024)

Language: Python - Size: 1.48 MB - Last synced at: 10 days ago - Pushed at: 2 months ago - Stars: 90 - Forks: 7

kharitarun18/House-price-prediction-ML

Machine Learning project for predicting house prices using XGBoost with a Streamlit web app.

Language: Jupyter Notebook - Size: 124 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

ikosmidis/brglm2

Estimation and inference from generalized linear models using explicit and implicit methods for bias reduction

Language: R - Size: 4.63 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 31 - Forks: 11

CIDARLAB/knoxAI

Flask API for graph-based deep learning for Knox

Language: Python - Size: 19.5 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

anish-lakkapragada/SeaLion

The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.

Language: Python - Size: 37.9 MB - Last synced at: about 1 month ago - Pushed at: almost 2 years ago - Stars: 337 - Forks: 37

w-jamil/proteus-eti

PROTEUS -- SOLMA -- ETI

Language: Python - Size: 87.8 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

clementetienam/Ultra-Fast-Mixture-of-Experts-Regression

Language: MATLAB - Size: 1.75 MB - Last synced at: 24 days ago - Pushed at: about 5 years ago - Stars: 7 - Forks: 0

woctezuma/Classification-binaire

Modèles de classification binaire.

Language: Python - Size: 120 KB - Last synced at: 29 days ago - Pushed at: 30 days ago - Stars: 2 - Forks: 0

sozelfist/handson-ml3 Fork of ageron/handson-ml3

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Language: Jupyter Notebook - Size: 28.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

ua-datalab/MLWorkshops

UArizona DataLab Workshops

Language: Jupyter Notebook - Size: 106 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 7 - Forks: 0

Amaan-developpeur/WeatherPredictionAPI

WeatherPredictionAPI : A full-stack machine learning system that predicts temperature using historical and real-time weather data. The project includes data collection, feature engineering, model training, API deployment with FastAPI, Docker containerization, logging, CI/CD integration, and a responsive web UI.

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: 15 days ago - Pushed at: 2 months ago - Stars: 3 - Forks: 0

Ahmadjamil888/BITCOIN_Price_Predictor

An AI Bitcoin Price predicor made with node js and pytorch and trained on historical data of Bitcoin.

Language: Python - Size: 23.2 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Jeffawe/ML-Models

A couple of python scripts implementing machine learning algorithms and Neural Networks

Language: Jupyter Notebook - Size: 59.6 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ruslanpavliichuk/wine-classification

Wine Classifier

Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

desaiprasad1989/Regression-Analysis

Build a multiple linear regression model using the training dataset. Interpret the coefficients of the model. Build minimum of 3 different models.

Language: Jupyter Notebook - Size: 2.93 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

marianatiele/MLOps_Regressao

API desenvolvida com um modelo de Regressão Linear para prever preços de imóveis a partir de dados estruturados. Ideal para estudos práticos de ML e deploy em produção.

Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

zeynepcol/Data-Science-Cryptocurrencies-Data-Analysis-Forecasting

Cryptocurrency price analysis and prediction using regression models

Language: Python - Size: 8.88 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

nafanur/Student-Performance-Multiple-Linear-Regression-

Student Performance (Multiple Linear Regression)

Language: Jupyter Notebook - Size: 2.24 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Saravanan9698/Saravanan.Github.io

Welcome to my Data Science Portfolio! I'm Saravanan — an IITM Pravartak Certified Data Science Professional with practical experience building end-to-end ML and Deep Learning solutions across healthcare, finance, e-commerce along with NLP and GEN AI Domains. This portfolio highlights my work on real-world data-driven projects.

Language: HTML - Size: 68.4 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

gregorLen/S-ANFIS-PyTorch

An Implementation of the State-Adaptive Neuro-Fuzzy Inference System (S-ANFIS) based on Pytorch. Also Repository to my package "sanfis".

Language: Python - Size: 1.94 MB - Last synced at: 16 days ago - Pushed at: about 3 years ago - Stars: 28 - Forks: 6

harunurrashid97/100-Days-Of-ML-Code

A day to day plan for this challenge. Covers both theoritical and practical aspects

Language: Jupyter Notebook - Size: 11.8 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 228 - Forks: 111

TRAORE-07/Supervised-Learning-Models

Supervised learning is a machine learning technique where the algorithm is trained on a dataset with both input features (independent variables) and corresponding output labels (dependent variables). It uses labeled datasets to train algorithms to predict outcomes and recognize patterns.

Language: Python - Size: 81.1 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

malika-n/Data-Science-Cryptocurrencies-Data-Analysis-Forecasting

Analyze and forecast prices of 10 cryptocurrencies using historical data from Binance API. Visualize predictions with a Flask web interface. 🐙📊

Language: Python - Size: 7.56 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

kahlmeyer94/DAG_search

UDFS: Systematically searching the space of small directed, acyclic graphs (DAGs).

Language: Jupyter Notebook - Size: 23.9 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 6 - Forks: 1

mukulsinghal001/USA-Housing-Price-Prediction

In this project I have implemented 14 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 0

Marta-Barea/mlp-boston-house-regression

A simple project to train and evaluate a multilayer perceptron model on the Boston House Prices data using TensorFlow, SciKeras, and Scikit-Learn

Language: Python - Size: 142 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Akash6700882/CodeAlpha_breast-cancer-prediction

Breast cancer prediction using machine learning models on the UCI dataset

Language: Jupyter Notebook - Size: 1.71 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

0xMrMasry/Weather-Data-Regression-Analysis-Project

This project applies and compares 3 different regression algorithms on a Weather History dataset to predict temperature values. It demonstrates how different regression techniques perform on the same dataset, with visualizations to aid in understanding model behavior and performance.

Language: Python - Size: 2.19 MB - Last synced at: 4 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

lalvim/PartialLeastSquaresRegressor.jl

Implementation of a Partial Least Squares Regressor

Language: Julia - Size: 172 KB - Last synced at: 3 days ago - Pushed at: over 2 years ago - Stars: 41 - Forks: 6

xinglab-ai/genomap

Cartography of Genomic Interactions Enables Deep Analysis of Single-Cell Expression Data (Nature Communications, 2023)

Language: Python - Size: 43.7 MB - Last synced at: 14 days ago - Pushed at: over 1 year ago - Stars: 19 - Forks: 4

kbzh2558/Food_Combo_Optimization

Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

dmavani25/discopula

Discrete checkerboard copula modeling and implementation of new scoring methods pertaining to ordinal and categorical discrete data.

Language: Python - Size: 3.33 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

linesd/SSGPR

Sparse Spectrum Gaussian Process Regression

Language: Python - Size: 2.73 MB - Last synced at: 3 months ago - Pushed at: over 5 years ago - Stars: 23 - Forks: 6

annarsama/PropertyValues-Prediction

Prediction of property values using machine learning algorithms and about 3 million data

Language: Jupyter Notebook - Size: 224 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

cyber220/car-price-prediction

A machine learning-powered web application that predicts the price of used cars based on essential input features such as brand, model, year of purchase, fuel type, and kilometers driven. This project utilizes a Linear Regression model and provides a responsive web interface built with Flask.

Language: Jupyter Notebook - Size: 112 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

hsynadguzel/AAPL_Stock_Regression_Analysis

This repo includes regression analysis on AAPL stock. Basic statistics, visualization, outlier detection and regression modeling steps are included.

Language: Jupyter Notebook - Size: 359 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

jespb/Python-StdGP

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

Language: Python - Size: 38.1 KB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 8 - Forks: 9

siddhant4srivastava/Linear-Model-Regression-and-Classification-

Biulding a real scenario Regression and Classification Algorithms.

Language: Jupyter Notebook - Size: 794 KB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

chicago-joe/Python-ML-for-Financial-Applications

Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling

Language: Python - Size: 7.06 MB - Last synced at: 7 days ago - Pushed at: over 6 years ago - Stars: 19 - Forks: 6

Nouran246/House-Pricing-Prediction Fork of Yahia-Elshobokshy/Task1-Machine-Learning

Housing Prices Prediction using Machine Learning Developed a regression model to predict housing prices using data preprocessing, feature engineering, and various regression algorithms. Tuned hyperparameters and evaluated performance with key metrics (RMSE, MAE, R²).

Language: Jupyter Notebook - Size: 2.66 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

O2sa/dimaond_price_predication

Diamond Price Prediction with jupyter

Language: Jupyter Notebook - Size: 7.71 MB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

ahmetozlu/nonlinear_regression_keras

Training of a neural network for nonlinear regression prediction with TensorFlow and Keras API.

Language: Jupyter Notebook - Size: 365 KB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 17 - Forks: 10

vikrantarora25/Car-Price-Prediction-Highly-Comprehensive-Linear-Regression-Project-

A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.

Language: Jupyter Notebook - Size: 3.39 MB - Last synced at: 3 months ago - Pushed at: about 5 years ago - Stars: 32 - Forks: 18

arkapatra31/ML

Learning and Implementation of my Machine Learning Journey

Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

codophobia/CricketScorePredictor

Using machine learning algorithms to predict first innings score in limited overs cricket matches

Language: Python - Size: 5.03 MB - Last synced at: 5 months ago - Pushed at: over 6 years ago - Stars: 41 - Forks: 31

saeedahmadicp/numerical_optimization_of_ai

Numerical techniques for optimization of artificial Intelligence

Language: Python - Size: 3.87 MB - Last synced at: 10 days ago - Pushed at: 7 months ago - Stars: 9 - Forks: 4

Snigdho8869/Regression-Analysis-Projects

Repository showcasing a collection of diverse regression analysis projects including salary prediction and more.

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

ali-Eskandarian/Semester_1_Fuzzy_Logic

Projects of Fuzzy course

Language: Python - Size: 0 Bytes - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

pieropls/ML-ENSAE

This repository contains tutorials and exercises from the course Theoretical Foundations of Machine Learning at ENSAE Paris.

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

shridhar1504/Sales-Forecasting-Datascience-Project

Develop a data science project using historical sales data to build a regression model that accurately predicts future sales. Preprocess the dataset, conduct exploratory analysis, select relevant features, and employ regression algorithms for model development. Evaluate model performance, optimize hyperparameters, and provide actionable insights.

Language: Jupyter Notebook - Size: 1.48 MB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 8 - Forks: 5

KrishNayak421/ML-Algorithms-from-Scratch

Implementation of fundamental ML algorithms from scratch

Language: Python - Size: 94.7 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

kelvinleandro/manim-animations

Animations exploring various concepts in computer science, with a special focus on machine learning and statistics

Language: Python - Size: 6.38 MB - Last synced at: 6 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 1

rainij/polynomial-regression-js

Multivariate polynomial regression for javascript/typescript

Language: TypeScript - Size: 453 KB - Last synced at: 2 months ago - Pushed at: about 1 year ago - Stars: 10 - Forks: 0

mituskillologies/cdac-ai-drdo-jan25

Programs of certificate course on Artificial Intelligence and Machine Learning conducted for DRDO officials at CDAC Headquarters, Pune in January 2025.

Language: Jupyter Notebook - Size: 27.6 MB - Last synced at: 4 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

LamiaaElOuatili/Predicting_social_media_performance_metrics

This project aims to explore the relationships between various input features and target variables in a social media dataset. By leveraging regression techniques, we aim to identify the most predictive variables for user engagement metrics.

Size: 0 Bytes - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

kkirogod/Energy-Efficiency-Dataset

Data mining project carried out on the Energy Efficiency Dataset (UCI).

Language: Jupyter Notebook - Size: 816 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

carlosgutierrez1412/Concrete-Comprehensive-Strength-Regression

FIU Machine Learning Course Final Project

Language: Jupyter Notebook - Size: 546 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Mike014/Streamlit_ML_Web-Apps

A series of apps developed with the streamlit framework that leverage ML algorithms.

Language: Jupyter Notebook - Size: 3.62 MB - Last synced at: about 1 month ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

niyas6161/ML-PROJECTS

ML Projects

Language: Jupyter Notebook - Size: 4.72 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Radhikareddy-chintareddy/Predictive-Churn-Modeling-Machine-Learning-for-Customer-Retention

This project employs machine learning algorithms to predict customer churn by analyzing historical customer data. It provides actionable insights to enhance customer retention. The models were fine-tuned using hyperparameter optimization and tackled data imbalance with SMOTE, achieving high F1-scores to drive targeted business strategies.

Language: Jupyter Notebook - Size: 3.02 MB - Last synced at: 7 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

imharshag/Fake-news-Detection-using-ML

This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.

Language: Python - Size: 12.4 MB - Last synced at: 6 months ago - Pushed at: about 1 year ago - Stars: 8 - Forks: 0

shridhar1504/Price-Prediction-for-Used-Cars-Datascience-Project

This project uses machine learning to predict the price of a used car. The model is trained on a dataset of historical car sales data, and it can then be used to predict the price of a car based on its features.

Language: Jupyter Notebook - Size: 708 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

AryaR-06/linear-regression

A Python project demonstrating basic linear regression with gradient descent and matrix operations, alongside scikit-learn comparison.

Language: Jupyter Notebook - Size: 87.9 KB - Last synced at: 7 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

I11KNOW/Guided_Python_Projects

Welcome to the Guided ML Projects repository! This repository is a collection of guided machine learning projects aimed at providing practical examples and tutorials for individuals interested in learning and implementing machine learning techniques in various domains.

Size: 1.39 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

syang76/machine_learning_algorithms

This code demonstrates how to construct pipelines to perform grid search to compare various supervised machine learning algorithms.

Language: Python - Size: 0 Bytes - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Escapist-007/ML_Projects

The projects are part of the graduate-level course CSE-574 : Introduction to Machine Learning [Spring 2019 @ UB_SUNY] . . . Course Instructor : Mingchen Gao (https://cse.buffalo.edu/~mgao8/)

Language: Jupyter Notebook - Size: 84 MB - Last synced at: 4 months ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 6

fitushar/Image_pixel_recovery_with_lesso_regression

The objective of this mini-project is to Recover a full image from a small number of sampled pixels (compressed sensing). Although the primary goal of this project is to understand and explore the application of regularized. In the process of recovering image pixel using regularized regression, we will explore different concepts and their understanding as following: Understanding how regression can be applied in 2D image analysis domain. Understanding of the discrete cosine transforms (DCT) to define an image in a frequency domain. Explore the importance and application of cross validation in model tunning and hyper-parameter selections. Understanding the impact of applying filtering approach such as median filter on reconstructed image Finally, quantitively evaluating the quality of removed image.

Language: Python - Size: 2.94 MB - Last synced at: 4 months ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

Tugbars/RLS-Driven-Peak-Analyzer

Microcontroller-friendly C implementation of Recursive Least Squares (RLS) for running gradient analysis, including linear, cubic, and quadratic trends, optimized for real-time trend and peak detection

Language: C - Size: 379 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 0

diegodemiranda/linear_regression_models

Repository for linear regression models implemented in machine learning.

Language: Jupyter Notebook - Size: 980 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

SriNeogi/AutoML-Regressor

AutoML regression

Language: Jupyter Notebook - Size: 98.6 KB - Last synced at: 8 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

diegodemiranda/machine_learning_algorithms

Repository to store studies of machine learning algorithms implemented in artificial intelligence.

Language: Python - Size: 244 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

LukeMercouris/Bike_Rental_Predictor

Bike Rental Demand Prediction: Built regression model to forecast hourly bike rentals in DC using time-based features and Gradient Boosting Regressor. Achieved R² of 0.965, RMSE of 33.94, and MAE of 22.49. Created Streamlit web app for real-time rental predictions.

Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: 8 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

LukeMercouris/Loan_Prediction

Loan Approval Prediction: Built binary classification model to predict loan approvals using financial and demographic data. Applied preprocessing and StandardScaler normalization. Used Gaussian Naive Bayes model achieving 92% recall for approvals, 74% accuracy, and 82% F1-score. Deployed via Flask web application.

Language: Jupyter Notebook - Size: 952 KB - Last synced at: 4 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Pegah-Ardehkhani/Flight-Price-EDA-and-Prediction

Analyze and Predict the Flight Price Using Machine Learning Models and Plotly Library

Size: 3.49 MB - Last synced at: about 12 hours ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 3

bs-tech-project/student-score-prediction

Utilizes linear regression to predict student math scores based on features such as weekly self-study hours and the number of absence days.

Language: Python - Size: 2.93 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

muhzinkhan/Machine-Learning-Algorithms-from-Scratch

Machine Learning algorithm implementations from scratch.

Language: Jupyter Notebook - Size: 255 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

Hamid-Rezaei/Data-Mining

This repository contains code and solutions for the Data Mining project, which applies various techniques and methods to different datasets. The project covers data preprocessing, dimensionality reduction, regression, classification, and association rule mining.

Language: Jupyter Notebook - Size: 1.55 MB - Last synced at: 4 months ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0

akankshaaa013/Practice-Machine-Learning-Projects

A ML repository that contains several practice notebooks of different Machine Learning Algorithm such as Multiple Linear Regression, KNN Classification, SVM, etc.

Language: Jupyter Notebook - Size: 236 KB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

vishanth10/Airbnb_RDD_AB_test

RDD Design (A/B Test) on Casual Impact Analysis of Super-host Catergory in Airbnb

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

vishal-verma-96/Pre-Owned-Car-Price-prediction-using-Streamlit-App

Capstone Project by skill Academy- Exploratory Analysis, Visualization and Prediction of Used Car Prices. Deploying the highest-scoring model with Streamlit web app

Language: Jupyter Notebook - Size: 4.75 MB - Last synced at: 10 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 1

shridhar1504/Boston-House-Price-Prediction-Datascience-Project

The Boston House Price Prediction project utilizes data science methodologies and machine learning algorithms to provide accurate predictions for housing prices in the Boston area.

Language: Jupyter Notebook - Size: 2.45 MB - Last synced at: 6 months ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2

matakshay/Air_quality_pred

Machine Learning model which uses closed-form solution of Locally Weighted Regression (LOWESS) Algorithm to predict the Quality of Air

Language: Python - Size: 112 KB - Last synced at: 3 months ago - Pushed at: about 6 years ago - Stars: 8 - Forks: 1

SanikaVT/Real-Estate

Machine learning Regression problem with easy understandable solutions

Language: Jupyter Notebook - Size: 17 MB - Last synced at: 4 months ago - Pushed at: about 7 years ago - Stars: 36 - Forks: 28

AbhishekTungala/ML-Weather-Forecasting-Prediction

ML Weather Prediction using Python

Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

spoortimorabad/House-Price-Prediction-With-advanced-Regression-Techniques

house price prediction

Language: Jupyter Notebook - Size: 2.26 MB - Last synced at: 7 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

egaoharu-kensei/ML-algorithms-from-scratch.-Course-for-beginners

ML-algorithms from scratch using Python. Classic Machine Learning course.

Language: Jupyter Notebook - Size: 21 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 48 - Forks: 14

yacineMahdid/artificial-intelligence-and-machine-learning

A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

Language: Jupyter Notebook - Size: 35.9 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 164 - Forks: 91

Ananth09/House-price-Advanced-regression

Advanced Regression models on Real Estate dataset

Language: Jupyter Notebook - Size: 186 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

abhaypaii/compare-ml-algo-app

I use the LazyPredict python library to compare the time and memory usage of every regressor/classifier algorithm for a user's dataset

Language: Python - Size: 27.3 KB - Last synced at: about 1 month ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

G2Martins/EleicoesSP-2024-IA

Repositório criado para armazenar o projeto de previsão eleitoral de 2024, utilizando regressão logística multinomial. O modelo foi desenvolvido para prever a intenção de voto dos eleitores com base em características como idade, renda, escolaridade, região e gênero. Explorando dados fictícios, o projeto compara candidatos de diferentes espectros

Language: Python - Size: 75.2 KB - Last synced at: 29 days ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

LaxmiChaudhary/Modeling-of-strength-of-high-performance-concrete-using-Machine-Learning

Language: Jupyter Notebook - Size: 1.56 MB - Last synced at: about 1 year ago - Pushed at: almost 6 years ago - Stars: 13 - Forks: 10

ha7890846/mental_fitness_tracker

The Mental Health Fitness Tracker project focuses on analyzing and predicting mental fitness levels of individuals from various countries with different mental disorders. It utilizes regression techniques to provide insights into mental health and make predictions based on the available data.

Language: Jupyter Notebook - Size: 2.81 MB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

Related Keywords
regression-algorithms 481 machine-learning 234 python 128 regression-models 119 machine-learning-algorithms 94 regression 82 classification-algorithm 79 data-science 72 linear-regression 59 regression-analysis 51 python3 34 pandas 33 scikit-learn 32 jupyter-notebook 31 classification 31 supervised-learning 30 numpy 30 data-analysis 30 data-visualization 29 random-forest 28 deep-learning 28 sklearn 25 matplotlib 25 clustering-algorithm 24 exploratory-data-analysis 22 logistic-regression 22 statistics 18 prediction 17 seaborn 16 decision-trees 15 predictive-modeling 15 supervised-machine-learning 15 artificial-intelligence 15 classification-algorithims 14 neural-networks 13 r 12 data-preprocessing 12 xgboost 12 neural-network 12 gradient-boosting 11 house-price-prediction 11 gradient-descent 11 tensorflow 11 machinelearning 11 deep-neural-networks 11 ridge-regression 10 flask 10 clustering 10 ai 10 ml 9 feature-selection 9 regression-testing 9 lasso-regression 9 classification-model 9 hyperparameter-tuning 8 regression-model 8 unsupervised-learning 7 decision-tree-regression 7 time-series 7 datascience 7 matplotlib-pyplot 7 svm-classifier 7 unsupervised-machine-learning 7 plotly 7 predictive-analytics 7 sklearn-library 7 machinelearning-python 7 prediction-model 7 random-forest-regression 7 kaggle 7 knn-algorithm 7 visualization 7 dataset 7 feature-engineering 7 polynomial-regression 7 data-cleaning 7 time-series-analysis 6 python-3 6 naive-bayes-classifier 6 nlp 6 svm 6 decision-tree-classifier 6 kaggle-competition 6 decision-tree 6 linear-algebra 6 javascript 6 flask-application 6 supervised-learning-algorithms 5 data 5 random-forest-regressor 5 xgboost-regression 5 keras 5 data-mining 5 random-forest-classifier 5 ensemble-learning 5 keras-tensorflow 5 clustering-algorithms 5 k-means-clustering 5 scikitlearn-machine-learning 5 outlier-detection 5