Topic: r2score Goto Github
Some thing interesting about r2score
Some thing interesting about r2score
r2score,Prediction model for profit of 50 startups dataset by Multiple Linear Regression
User: atwyburde
r2score,Prediction model for Delivery Time by Simple Linear Regression
User: atwyburde
r2score,Prediction model for Salary Hike by Simple Linear Regression
User: atwyburde
r2score,Flight fare Prediction end-to-end project
User: dalim9898
r2score, K-nearest neighbors (KNN) classification is a non-parametric supervised machine learning algorithm. It is a simple yet powerful algorithm that can be used for a variety of classification problems
User: emamulhossen
Home Page: https://github.com/EmamulHossen
r2score,This repository is about Analysis of Cricket Chirps, Brain-Body Weight, and Salary Discrimination Data: Linear regression, visualization,R2 squared and correlation assessments.
User: faraazarsath
r2score,A car price prediction model based on regressor task.
User: gopalkholade
r2score,Life expectancy, an estimate of the number of remaining years of life a person has, is an important consideration for making clinical decisions in primary care. Predicting Life Expectancy helps analyze the average lifespan of the countrymen which helps in making crucial health decisions.
User: ishan-kotian
Home Page: https://www.kaggle.com/lykin22/life-expectancy-prediction-with-automated-eda
r2score,📗 This repository provides an in-depth exploration of the predictive linear regression model tailored for Jamboree Institute students' data, with the goal of assisting their admission to international colleges. The analysis encompasses the application of Ridge, Lasso, and ElasticNet regressions to enhance predictive accuracy and robustness.
User: kasimuthuveerappan
Home Page: https://www.jamboreeindia.com/
r2score,Population_Pyramid_France_2017
User: kelhoussaini
r2score,Exploratory Data Analysis & predicting medical insurance cost with machine learning.
User: luckywijaya
r2score,Job-A-thon ML challenge
User: pranavi1990
r2score,Diamond Price Predictor - Web Application: Predict diamond prices using various regression models: Linear Regression, Lasso, Ridge, ElasticNet, Decision Tree Regressor, Random Forest Regressor, and KNeighbors Regressor. The chosen Random Forest Regressor, with a remarkable accuracy of 97%, is deployed in a user-friendly Flask app
User: sai-manas
r2score,The dataset used for this project is taken from the official UCI Machine Learning Repository.
User: saurav0129
Home Page: https://saurav0129-steel-industry-energy-consumpti-streamlit-app-vdxijc.streamlit.app/
r2score,The use of Machine Learning Regression models for predicting energy loads of buldings.
User: sedembuabs
r2score,Exploratory Data Analysis & predicting medical insurance cost with machine learning.
User: sonu275981
r2score,House Price prediction in US
User: sreedivyakudupudi
r2score,This project provides a performance evaluation of credit card default prediction. Thus different models are used to test the variable in predicting the credit default and we found Random Forest Classifier performs the best with a recall of 0.95 on the test set.
User: syedsharin
r2score,
User: zauverer
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