r2-score
There are 52 repositories under r2-score topic.
boosuro/profit_estimation_of_companies
profit estimation of companies with linear regression
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.
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
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
indrapaul824/Sem-3-Project-TMDb-Movie-Analysis-and-Modeling
A Preprocessing, Analytical and Modeling Case Study using Supervised ML Models
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.
Jean-LucasLS/Regressao-Linear-2
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.
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.
abhipatel35/ML-Regression-Lifecycle
Explore the complete lifecycle of a machine learning project focused on regression. This repository covers data acquisition, preprocessing, and training with Linear Regression, Decision Tree Regression, and Random Forest Regression models. Evaluate and compare models using R2 score. Ideal for learning and implementing regression use cases.
davutbayik/Bus-Usage-Forecasting
Time Series Forecasting - Bus Usage Prediction
DerekEgenti/Basic-Linear-Regression-
A project showcasing the various steps involved in carrying out a basic linear regression task for prediction of a target variable.
elmezianech/Food-Delivery-Time-Prediction
This machine learning project focused on predicting food delivery times. The code emphasizes essential tasks such as data cleaning, feature engineering, categorical feature encoding, data splitting, and standardization to establish a solid foundation for building a robust predictive model.
ericyoc/exploratory_data_analysis_poc
A demonstration of exploartory data analysis with hypothesis testing.
GunturWibawa/BetaBankChurnAnalysis
Beta Bank is losing customers monthly. Employees want to focus on client retention. As a Data Scientist, I created a model to predict the chance of a customer leaving, based on past behavior and contract terminations.
Jhay001/EDA-And-Sales-Prediction-using-SLR
The "Advertising Impact Analysis" project aims to analyze the relationship between advertising expenditure across different channels (such as TV, radio, online) and its impact on sales or revenue.
OmerGamie/mlproject
This repo hosts an end-to-end machine learning project designed to cover the full lifecycle of a data science initiative. The project encompasses a comprehensive approach including data Ingestion, preprocessing, exploratory data analysis (EDA), feature engineering, model training and evaluation, hyperparameter tuning, and cloud deployment.
SaraGhR/life_expectancy
To predict people's quality of life
venkatesh182002/TMDb_Analysis
A Preprocessing Modelling Study using Supervised ML Models
dhruwsunita/Used-Car-Price-Predictor
Used cars price prediction using Python, Machine Learning, HTML and CSS.
GunturWibawa/SpotifyPopularityProbe
In the digital music era, understanding artist popularity on Spotify is vital. This project taps into Spotify's data, analyzing key factors driving artist prominence. Through our insights, we illuminate what sets successful artists apart in this dynamic platform.
vaibhavdangar09/Stock_Market_Prediction_And_Forecasting_Using_Bidirectional_LSTM_RNN
Utilizing advanced Bidirectional LSTM RNN technology, our project focuses on accurately predicting stock market trends. By analyzing historical data, our system learns intricate patterns to provide insightful forecasts. Investors gain a robust tool for informed decision-making in dynamic market conditions. With a streamlined interface, our solution
YaminiGhumre/salary_prj2
Linear_Regression_Practical_Salary