dhvl15/Backorder-Prediction

Backorder Prediction in R | Visualization | Regression

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LisaLi525/Regression-Analysis-Weather

This R Markdown project conducts detailed weather-related sales analysis. It includes data loading, cleansing, integration of sales with weather data, trend analysis, and correlation studies, all wrapped in a modular, reusable code structure with comprehensive documentation and an MIT license.

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Sahilzayn/U.S-Home-Price

By using publicly available data for the key factors that influence US home price nationally. Then, build a data science model that explains how these factors impacted home price over the last 20 years and i have use the S&P Case-Schiller Home Price Index as a proxy for home prices:[ https://fred.stlouisfed.org/series/CRSUSHPISA]

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Praveen76/House-Prices--Advanced-Regression-Techniques

House-Prices--Advanced-Regression-Techniques project tackles a regression problem, predicting house prices using 80 input features like MSSubClass, LotFrontage, LotArea, etc. The target variable is SalePrice. Leveraging XgBoost, this project aims for accurate and advanced regression techniques in house price prediction.

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richardd3ng/Image-Reconstruction

Digital Image Reconstruction

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TheAmirHK/Financial-market-price-analysis-and-prediction

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nikitanosov1/python-labs

Лабораторные работы по курсу "Технологии программирования на Python"

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Pongpang-2102/KDAI_Seminar-in-Data-Science

This Repository stores my Presentation in subject : Seminar for Data Science from KDAI Curriculum

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Jai-Ds/Cab-fare-prediction--Data-Science-Capstone-project

Requirement is to apply analytics for fare prediction using historical data from the pilot project

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abhishek1377/Customer-LifetTime-Value-Prediction

CLV prediction using Regression Analysis of customer invoice data for an online retail store

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Apaulgithub/oibsip_taskno3

A data science project focusing on leveraging machine learning to predict car prices based on various features. Gain insights into factors influencing car values and build a robust pricing model.

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YoudeepSk/EDA-ML

Logistic Regression on Popular Adventure Work Data using Python

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Mr-Alite/Customer-Churn-Prediction-Using-ML

This project is a machine learning model for predicting customer churn in the telecom sector. It's designed to identify customers at risk of leaving a telecom service, enabling proactive retention efforts.

Language: Python - Size: 734 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

DelSquared/signal-frequency-filter-classifier

The application of machine learning techniques (such as linear regression) to classify a frequency filter from its spectrum

Language: Python - Size: 79.4 MB - Last synced at: 5 months ago - Pushed at: almost 7 years ago - Stars: 3 - Forks: 1

LUCASDNORONHA/Regression-Supervised_Machine_Learning

Este repositório compreende uma variedade de algoritmos de aprendizado de máquina supervisionado, concentrando-se especialmente em métodos de regressão.

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MafikengZ/Machine-Learning-Advanced-Regression

This project is focused on building an Advanced Linear Regression model measuring the load-shortfall-3h in Spain

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gideon-ogunbanjo/APS

APS - Interactive Algorithm Predictive Studio

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rk326439/Car_Price_Prediction

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inogii/lacasademickeymouse

Regression models for housing price prediction

Language: Python - Size: 6.56 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

beberman/linear-algebra Fork of OdonataResearchLLC/linear-algebra

A numerical linear algebra library in Common Lisp. Forked from OdonataResearchLLC. Being extended for additional Linear Algebra functions. Interested in extending to CUDA

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majd30/Flight-Ticket-Price-Prediction-Model

This repository hosts a predictive model designed to estimate flight ticket prices. Using historical flight data, the model employs machine learning algorithms for Regression like : Decision Tree , Random Forest and Linear Regression to forecast ticket prices, aiding travelers in making informed booking decisions and airlines in optimizing pricing

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pycay/CKME136-Data-Analytics-Capstone--DengAI-Predicting-Disease-Spread

My capstone project for Ryerson's Data Analytics, Big Data, and Predictive Analytics. The project I worked on was based on an open competition project called DengAI: Predicting Disease Spread. The objective of the project was to predict the total number of cases in the testing set of Iquitos, Peru & San Juan, Puerto Rico.

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sharmaroshan/Black-Friday

This time I am doing it using R language. let's see the results. The solutions includes eda(exploratory data analysis), data visualizations, modelling with Machine learning Models such as XgBoost and AdaBooost etc and check the performance using rmse metrics etc to compare the results.

Language: R - Size: 9.4 MB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 5 - Forks: 1

jaisal1311/Deep-Learning

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Tejas1415/House_Price_Prediction_Hackathon

"3rd PRIZE WINNER" Hackathon: Predicted price of the houses located in Bangalore, India - over a real time large scale data provided by the hackathon team.

Language: Python - Size: 260 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

drwuHUST/MBGD_RDA

Matlab source code of the paper "D. Wu, Y. Yuan, J. Huang and Y. Tan*, Optimize TSK Fuzzy Systems for Regression Problems: Mini-Batch Gradient Descent with Regularization, DropRule and AdaBound (MBGD-RDA), IEEE Trans. on Fuzzy Systems, 28(5), pp. 1003-1015, 2020."

Language: MATLAB - Size: 1.16 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 12 - Forks: 3

JamesHotniel78/Algorithm-BFGS-in-R-Project

Binary Logistic Regression Analysis using the Broyden-Fletcher-Goldfarb-Shanno Algorithm on the Quasi-Newton Method

Language: R - Size: 41 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

AminAllahham/image-rotation-correction-model

Scanned Paper Rotation Correction using PyTorch to automatically correcting the orientation of scanned paper documents between -45° , 45°

Language: Python - Size: 96.1 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 0

SaloniBhutada/Rental-Bikes-Potential-Customers-Prediction

The data gathered is generated by Capital bikeshare system based out of Washington, DC with the corresponding weather and seasonal information. We developed regression-based bike-sharing demand models by conducting exploratory analysis and further advancing the model performance to a 91% accuracy, enabling reliable future customer predictions.

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SuhasTantri/Bike-Demand-Prediction

This repository consists of Rental Bike demand prediction required at each hour of the day so that stable supply of rental bikes can be made possible. This is done by applying various Regression Machine Learning Algorithms.

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tapanpandya/Car-Price-Prediction

My first attempt to machine learning model deployment

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Heisenberghj7/Cars-Price-Prediction

🏷️🏎️ Model the price of cars with the available independent variables, Cars data are available on Wandaloo.com and they were extracted using Web Scraping

Language: Python - Size: 21.9 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

luuisotorres/PETR4-Stock-Price-Prediction-Using-PyCaret

Utilizando machine learning para prever o preço das ações da Petrobras com a biblioteca PyCaret

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luuisotorres/Predicting-Apple-Stock-Prices-Using-PyCaret

Using PyCaret to Predict Apple Stock Prices

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Gitkandar/estudiar_paga

Estimación de una ecuación de Mincer mediante un modelo supervisado de regresión lineal utilizando algoritmos de feature selection para la identificación de controles, aplicado al primer trimestre de 2023 de la totalidad de los aglomerados urbanos de Argentina, utilizando la Encuesta Permanente de Hogares (EPH).

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Terrisine/Machine-Learning-module-codes Fork of profvc/mllab

Charles Vincent's code

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luiz-star/PYCARET

PyCaret é que ele nos dá uma versão de baixo código para trabalhar, o que acelera o processo.

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singhPratapKavya/House-Rent-Prediction

The analysis aims to help students determine suitable rent prices for their housing needs by using machine learning to predict apartment prices based on various features such as number of bedrooms, bathrooms, furnished options, and amenities. The goal is to assist current and future students in making informed decisions and budgeting accordingly.

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Au-Jonathan/New-York-Taxi-Analysis

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bernatsort/Therapy-Progress-Gait-Prediction

Benchmarking data processing and regression techniques to predict rehabilitation progress in patients with ankle-related musculoskeletal disorders.

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moumi-18/Loan-Int-Rate-Predict

For the kaggle project - Loan Interest Rate Prediction, the repository contains the deployment details, project documentation file and project link.

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Ravjot03/Machine-Learning-Models

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olusegunadelowo/real_estate_prediction_project

This project is a regression problem. The regression model was built to predicts the prices of houses in the cities of Mexico

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Elzafr/Laptop_Price_Prediction_using_XGBoost

Machine Learning to Modelling Laptop Price using Extreme Gradient Boosting. use Regresion as types of supervised learning algorithms. Helping buyers make informed decisions and sellers optimize their pricing strategies.

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S-Oktay-Bicici/Machine-Learning

Machine Learning ve Python: A'dan Z'ye Makine Öğrenmesi

Language: Python - Size: 89.8 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

saibattula93/US-House-Analysis

The primary goal is to build a regression model that accurately predicts house prices in the US based on various features, such as location, square footage, number of bedrooms, and more.

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czopluoglu/rcompanionALSM

An R Companion for the Applied Linear Statistical Models by Kutner, Nachtsheim, Neter, and Li (2005).

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robotomize/regression-php 📦

My implementation of the regression algorithms

Language: PHP - Size: 49.8 KB - Last synced at: about 1 year ago - Pushed at: about 8 years ago - Stars: 16 - Forks: 3

occupyed/learn-machine-learning-python

Learn important machine learning algorithms using python. Full course code snippets and notes

Language: Python - Size: 3.63 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

vineetpatel725/Supplement-Sales-Prediction

Forecast sales for 350+ supplement retail chain stores for next 2 months

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Marveric-18/Regression-Algorithms

The repository contains regressions algorithms in ML

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mdimran1/Machine-Learning-Algorithms

Language: Jupyter Notebook - Size: 2.8 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

mino2357/interpolation-in-regression

Interpolation in regression

Language: Rust - Size: 77.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Kmohamedalie/DTM-Operational-Analytics-project

Operational Analytics course

Language: Python - Size: 2.15 MB - Last synced at: 9 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

AdolfoSalinas/ElasticNetRegression_HousingData

A elastic net regression to predict home prices with grid search

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erdemkkok/Regression

Language: Python - Size: 73.2 KB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

Gopalkholade/car-price-prediction

A car price prediction model based on regressor task.

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DMilmont/RedditStockPredictions

Textual analysis of Investment themed subreddits to predict future stock returns

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VissaMoutafis/Andrew-Ng-Coursera-ML-Projects

ML Mini-Projects, in the context of Andrew's Ng coursera course. Implemented in Octave.

Language: MATLAB - Size: 42.5 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

farhad-pourkamali/machine-learning

Slides and Python code examples for undergraduate machine learning

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Rashmitha-Here/Strength-of-the-concrete-ML

To find the strength of the concrete-Regression Problem

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adkwn1/numerical_methods

Trains, tunes, and evaluates different regression models to develop a time-efficient, high-quality model for predicting car prices based on RMSE and CPU runtime.

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amiralimadadi/Regression_TheranHousing

Data analysis and comparing different regression algorithms on dataset about Tehran housing price.

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KaushalSalvatore/Student-Performance-Prediction

This is machine learning web app that use to predict student performance according to marks and other Parmenter in data set.

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rainaa0277/Taxi-Fare-Prediction-using-Random-Forest

This case study is to predict the taxi fare for a taxi ride in New York City from a given pickup point to the agreed dropoff location. Decision tree and Random Forest regressor is used for the fare prediction.

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Balajimohan18/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.

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SaravanaSource/Festival-Sales-Prediction-Analysis

Predicting the sales during Festival time to improve company strategy for recommendations

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andressagomes26/marketplace_lh_cd

Neste projeto, estão sendo utilizados os algoritmos de Regressão Linear e Decision Tree Regressor para prever preços de veículos. 🚗🌎

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shridhar1504/Flight-Price-Prediction-Datascience-Project

The Flight Price Prediction Project is a machine learning-based project that predicts the cost of a flight based on the user's desired travel details. The project uses a variety of features, such as the source airport, destination airport, date of journey, and number of stops, to train a model that can predict the future price of a flight.

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shridhar1504/Zomato-Rating-Prediction-Datascience-Project

The Zomato Rating Prediction project aims to develop a Machine Learning based system for the prediction of rating for the Restaurants.

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Siddhi-Khaire/Parkinsons-Detection

Parkinson's disease detection project using various machine learning algorithms with front end in Flask API

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drmerlot/startml

R package for automatic hyper parameter tuning and ensembles with deep learning, gradient boosting machines, and random forests. Powered by h2o.

Language: R - Size: 10.6 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 7 - Forks: 0

Raging-coder/OIBSIP

In this repository, I have implemented Email Spam detection, Iris Flower Classification and Unemployment Analysis using Python using Machine Learning Algorithms where the expected proficiency percentage was ranging from 60-80%.

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rrambhia22/MotorVehicleCollisionCrashAnalysis

The project deals with predicting the number of persons killed based on the contributing factors such that necessary precautions and actions can be taken in order to avoid the accidents and reduce the death rates and injuries of the person in the New York city.

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Anagha0202/EDA-ClassificationRegression-Techniques-ColabNotebook

Spaceship Titanic - Analysis & Classification Models, House Prices -Analysis & Regression Models

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TheAthleticCoder/Basic_AI_from_scratch

In this repository we implement algorithms such as: KNNs, Decision Trees, Naive Bayes, Gaussian Naive Bayes, Regressions and their variations from scratch without using any in-built libraries.

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simrann20/Diabetes-dataset-analysis

Diabetes Dataset Analysis

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lamferzon/PLS-algorithm-MATLAB-implementation Fork of LorenzoF6/PLS_Algorithm_Implementation

Implementation in MATLAB of the PLS algorithm

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DevVladikNT/KernelRegression

My realization of kernel regression.

Language: Python - Size: 6.15 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

vaibhavdangar09/Boston_House_Price_Prediction

Boston House Price Prediction project involves several stages of data preprocessing, feature engineering, model building, and deployment. I have used pkl file for serialize the object and convert it into a “byte stream and also used a Flask for make front-end . The project's output can be useful in real estate businesses, homeowners, and prospect.

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PRANAVV1107/IPL-Score-Prediction

Developing a machine learning model for predicting final scores of IPL cricket matches, leveraging historical data on venue, team composition, pitch conditions, and past performance. The model provides valuable insights for cricket teams and fans, enhancing their overall IPL experience.

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Mertdil/IBM_machine_learning

IBM Machine Learning Professional Certificate with Coursera

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contepablod/MLRegAlgO-G

MLRegressionsAlgorithmsO&G

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sms25/Machine-Learning-Projects

This repository comprises useful machine learning projects with python codes and necessary datasets.

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spandey1296/Internship_Banking_ML_Project

Machine Learning (Training + Internship) by InternshipStdio

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angelicavelez/predict_the_amount_of_gold_mined

Model to predict the amount of gold extracted from gold mineral.

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apoorvavasthi/ML-CarSellingPricePrediction

Machine Learning Supervised Regression Model used for predicting the Car Selling Price

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ibodumas/linear_basis_function

Machaine learning algorithm for regression using regularized linear basis function.

Language: Python - Size: 17.6 KB - Last synced at: 5 months ago - Pushed at: about 8 years ago - Stars: 3 - Forks: 0

paulsoumyadip/ted_talk_views_prediction

These datasets contain over 4,000 TED talks including transcripts in many languages Founded in 1984 by Richard Salman as a nonprofit organization that aimed at bringing experts from the fields of Technology, Entertainment, and Design together. The main objective is to build a regression models to predict the number of views a video will receive.

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benjamin-milhet/F1_Machine_Learning

Dans ce projet, nous allons explorer différents algorithmes de Machine Learning pour prédire le nombre de points qu’un pilote de Formule 1 peut gagner lors d’un Grand-Prix. Nous allons utiliser des données de Formule 1 depuis 1950 pour entraîner nos modèles de prédiction.

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DannyVanpoucke/LSSVMlib

This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning model. The Classes are designed to integrate smoothly with the scikit-learn library.

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sumit0072/Car-Price-Prediction-Project

This is a predictive analysis of a dataset from CAR DEKHO. It predicts Car Selling Price. This is an end to end machine learning model.

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tonio73/data-science

Notebooks and Python about data science

Language: Jupyter Notebook - Size: 128 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 24 - Forks: 5

mannasoumya/grnn

basic and simple General Regression Neural Network for NodeJS

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dineshyadav3169/machine-learning

Machine Learning Projects in Python. Examples of popular machine learning algorithms with interactive Jupyter code explained

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Yi-Chen-Lin2019/Predictive-maintenance-with-machine-learning

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

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SyedMuhammadHamza/Hybrid-recommendation-system-web-application

Regression-based Movie Recommender system that's a hybrid of content-based and collaborative filtering Recommender system Simply rate some movies and get immediate recommendations tailored for you

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SNAILGROUP-AI/STUDY-ML

머신러닝 알고리즘 학습 내용 정리

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Nasrin-Akhtar/Flight-Price-Prediction

An EDA and predictive modelling

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nehalbendale/Delhi-air-quality-prediction.

Regression Problem - Exploratory Data Analysis, Data visualization , Feature correlations, Handling missing value and Outliers, Feature selection, Data Standardization, Simple liner regression, Multiple linear regression, Naive Bays, SVM, Decision Tree, Ensemble techniques.

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