Topic: r2-score Goto Github
Some thing interesting about r2-score
Some thing interesting about r2-score
r2-score,All things around ... Regression
User: aarvindshaw
r2-score,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.
User: abhipatel35
r2-score,Housing Price Prediction Challenge
User: akarsh1
r2-score,Project to predict production quantities for a given dataset using Machine Learning algorithms.
User: ayushegangal
r2-score,A study, analysis and visualization of factors and relationships between those factors which determine the rate of interest and also if a person is a potential loan defaulter by using ML.
User: ayushegangal
r2-score,profit estimation of companies with linear regression
User: boosuro
r2-score,A project showcasing the various steps involved in carrying out a basic linear regression task for prediction of a target variable.
User: derekegenti
r2-score,Used cars price prediction using Python, Machine Learning, HTML and CSS.
User: dhruwsunita
r2-score,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.
User: elmezianech
r2-score,A demonstration of exploartory data analysis with hypothesis testing.
User: ericyoc
Home Page: https://doi.org/10.1016/j.techfore.2023.122431
r2-score,TensorFlow deep regression model predicting bicycle rental.
User: guilhermedom
r2-score,Perceptron regressing revenue for an ice cream stand according to temperature.
User: guilhermedom
r2-score,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.
User: gunturwibawa
r2-score,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.
User: harshit1531
r2-score,ML implementations in Multi-scale model for lignin biosynthesis in Populus Trichocarpa
User: himasai97
r2-score,Regression - Bulldozer Sales Price - Kaggle Competition
User: iamkirankumaryadav
r2-score,A Preprocessing, Analytical and Modeling Case Study using Supervised ML Models
User: indrapaul824
Home Page: https://colab.research.google.com/drive/1UTrU1NvRp34KTtOeugscTieXeD9aks07?usp=sharing
r2-score,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.
User: jean-lucasls
r2-score,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.
User: jean-lucasls
r2-score,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.
User: jhay001
Home Page: https://www.kaggle.com/code/jibrilyahayajibril/eda-sales-prediction-using-slr
r2-score,This project used various machine learning algorithms to predict rainfall.
User: jong26
r2-score,Builded a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
User: juzershakir
r2-score,A machine learning web app for Boston house price prediction.
User: kalsam123
r2-score,Cross-validation, knn classif, knn régression, svm à noyau, Ridge à noyau
User: lanmar
r2-score,Numerical Methods: "Life Expectancy & Linear Regression" Group Project - 2nd Semester 2021 - Computer Science, UBA
User: martmallol
r2-score,Predicting house price
User: masihsoniya
r2-score,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.
User: mezbans
r2-score,Flight delay prediction based on the 2007 entries from the US domestic flight database
User: mikel-brostrom
r2-score,A data mining project to analyse Airbnb's data of Berlin for the year 2020 using KDD
User: mrraghav
r2-score,This Repository contains scratch implementations of the famous metrics used to evaluate machine learning models.
User: mustaffa-hussain
r2-score,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.
User: niteshchawla
r2-score,Detailed data analysis followed by predictive analytics of crimes in india over a period of 2001-2013.
User: paletikrishnasai
r2-score,Machine/Deep Learning metrics implementation in python
Organization: py-contributors
r2-score,It's designed to take you on a journey through the fundamental principles and applications of Linear Regression.
User: quanhoangngoc
r2-score,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.
User: sai-123-code
r2-score,Predicting total ride duration of taxi trips in New York City, the training set (contains 1458644 trip records)
User: san13deep
r2-score,To predict people's quality of life
User: saraghr
Home Page: https://colab.research.google.com/drive/1bN3imacToD2kBN-W1nLW25zwepu7iR2Z?usp=sharing
r2-score,Ml model to predict car prices based on certain parameters.
User: sarahcodebyte
r2-score,Built a few forecasting models to determine the demand for a particular product.
User: sflazarus
r2-score,prediction with regression for salary_hike and delivery time dataset
User: shwetajanwekar
r2-score,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.
User: simran2911
r2-score,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
User: vaibhavdangar09
r2-score,This assignment is a programming assignment wherein you have to build a multiple linear regression model for the prediction of demand for shared bikes.
User: vikhyatnegi
Home Page: https://github.com/vikhyatnegi/Linear-Regression-
r2-score,Predict sales prices and practice feature engineering, RFs, and gradient boosting
User: vshantam
Home Page: https://www.kaggle.com/c/house-prices-advanced-regression-techniques
r2-score,Linear_Regression_Practical_Salary
User: yaminighumre
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