r2-score

sai-123-code/JOBATHON_FEB2022

Analytics Vidhya presents “JOB-A-THON” - India's Largest Data Science Hiring Event, where 37,000+ candidates have participated for job roles in over 80+ top companies. You can be among them too! At JOB-A-THON, all Data Science enthusiasts, freshers and professionals will get the opportunity to showcase their skills and get a chance to interview with top companies for leading job roles in Data Science, Machine Learning & Analytics.

QuanHoangNgoc/Linear-Regression-Exploration-CS115-Math4CS-

It's designed to take you on a journey through the fundamental principles and applications of Linear Regression.

Masihsoniya/House-price-prediction

Predicting house price

Py-Contributors/metrics

Machine/Deep Learning metrics implementation in python

vshantam/House-Prices-Advanced-Regression-Techniques

Predict sales prices and practice feature engineering, RFs, and gradient boosting

aarvindshaw/Boston_House_Pricing_Regression_Machine_Learning

All things around ... Regression

alihassanml/House-Price-Using-Boosting-Technique

This repository contains a project for predicting house prices using multiple regression techniques and machine learning models, including boosting algorithms. The goal is to train several models on historical house price data and evaluate their performance using the R² score.

deliprofesor/Ridge-Regression-for-Sales-Prediction-Model-Evaluation-and-Hyperparameter-Tuning

This project builds and optimizes a model on a dataset using Ridge regression and polynomial features. Model accuracy is enhanced through regularization and polynomial transformations. Grid search and cross-validation are used to find the best parameters, and the model's performance is evaluated.

guilhermedom/PCA-multivariate-regression

Quick analysis on multivariate regression using PCA and R2 score to select variables.

guilhermedom/perceptron-regression-ice-cream-per-temp

Perceptron regressing revenue for an ice cream stand according to temperature.

himasai97/ML_Approaches

ML implementations in Multi-scale model for lignin biosynthesis in Populus Trichocarpa

immanuvelprathap/Agriculture-Project

indrapaul824/Sem-3-Project-TMDb-Movie-Analysis-and-Modeling

A Preprocessing, Analytical and Modeling Case Study using Supervised ML Models

Jean-LucasLS/Price-Prediction-Real-State

Utilizando-se a técnica de regressão linear, com o auxílio dos frameworks scikit-learn e statsmodel, foi possível criar um modelo de predição de preços de imóveis, com base em variáveis explanatórias de um database.

Jean-LucasLS/Regressao-Linear-1

Utilizando-se a técnica de regressão linear, com o auxílio do framework scikit-learn, foram realizados dois projetos nos quais foram utilizados dois databases diferentes (um de consumo de cerveja, e outro do preço de imóveis). Utlizando-se ambos, foi possível prever o consumo de cerveja e o preço dos imóveis, com base nas variáveis explanatórias.

jong26/rainfall_prediction_ml

This project used various machine learning algorithms to predict rainfall.

kalsam123/Boston-House-price-prediction-using-regression

A machine learning web app for Boston house price prediction.

martmallol/nm-life-expectancy

Numerical Methods: "Life Expectancy & Linear Regression" Group Project - 2nd Semester 2021 - Computer Science, UBA

MezbanS/Mercedes-Benz-Greener-Manufacturing

Reduce the time that cars spend on the test bench. Work with a dataset representing different permutations of features in a Mercedes-Benz car to predict the time it takes to pass testing. Optimal algorithms will contribute to faster testing, resulting in lower carbon dioxide emissions without reducing Mercedes-Benz’s standards.

mikel-brostrom/Flight_Delay_Predictor

Flight delay prediction based on the 2007 entries from the US domestic flight database

MrRaghav/airbnb-in-berlin-2020

A data mining project to analyse Airbnb's data of Berlin for the year 2020 using KDD

mustaffa-hussain/Performance-Metric

This Repository contains scratch implementations of the famous metrics used to evaluate machine learning models.

PaletiKrishnasai/Analytics_of_crimes_in_India

Detailed data analysis followed by predictive analytics of crimes in india over a period of 2001-2013.

Simran2911/Flight-Price-Pridiction

This github repositiory contains the Flight Price Prediction project aims to develop a machine learning model to predict flight ticket prices based on various factors such as departure and arrival locations, dates, airlines, and other relevant features.

AliHaider5577/BikeSharing_Regression_MachineLearning

Bike Sharing (Rentals) machine learning regression to predict total rentals by considering features of dataset

larenwell/ai-ml-rfe-optuna-ferreyros-challenge

At ferreyros, prioritizing sales opportunities for spare parts and services allows them to provide the best service to customers who need it most. This challenge is to use historical opportunity data to estimate the probability of closing new opportunities.

maheera421/Car-Price-Prediction-Model

A machine learning project that predicts car prices based on a dataset.

Niteshchawla/Jamboree-LinearRegression

Analysis will help Jamboree in understanding what factors are important in graduate admissions and how these factors are interrelated among themselves. It will also help predict one's chances of admission given the rest of the variables.

shwetajanwekar/Prediction-with-regression

prediction with regression for salary_hike and delivery time dataset

vikhyatnegi/Linear-Regression-

This assignment is a programming assignment wherein you have to build a multiple linear regression model for the prediction of demand for shared bikes.

DAVID316CORDOVA/Delayed-flight-models-with-PySpark

Learn how to create a regression model with PySpark. First, we will do data cleaning and data engineering, then I´ll show you how to use GridSearch and Cross Validation to calculte the R2-Score of a GBTRegressor Model

joviiee/ml_regression_problems

Various projects solving regression problems using machine learning.

just-ctrlC-ctrlV/Bullwhip-Effect

This project aims to predict the Bullwhip Effect in supply chains using machine learning. The Bullwhip Effect, where small demand fluctuations lead to large inventory swings, causes inefficiencies and higher costs. By applying advanced algorithms, the project seeks to improve forecasting and reduce these inefficiencies.

RiSchmi/MLbased_spatial_pollution_prediction

NO2 Prediction: Performance and Robustness Comparison between Random Forest and Graph Neural Network

sumeetgedam/Data_Analysis

Repository to track Data Analysis done on various datasets available online