r2-score

There are 0 repository under r2-score topic.

boosuro / profit_estimation_of_companies
profit estimation of companies with linear regression
linear-regression r2-score train-test-using-sklearn jupyter-notebook
Language:Jupyter Notebook 14
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.
machine-learning data-science jobathon competition regression-analysis r2-score random-forest-regression
Language:Jupyter Notebook 4
Masihsoniya / House-price-prediction
Predicting house price
exploratory-data-analysis regression-models accuracy-score elastic-net linear-regression log machine-learning-algorithms normalization r2-score random-forest-regression ridge-regression supervised-learning bayesian correlation-analysis lasso-regression normal-distribution kurtosis lasso-regression-model skewness
Language:Jupyter Notebook 2
Py-Contributors / metrics
Machine/Deep Learning metrics implementation in python
machine-learning machine-learning-library machine-learning-metrics mathematical-programming mathematics metrics metrics-library metrics-visualization python3 r2-score
Language:Python 2
vshantam / House-Prices-Advanced-Regression-Techniques
Predict sales prices and practice feature engineering, RFs, and gradient boosting
machine-learning-algorithms python3 ipython3 matplotlib scipy sklearn mse f1-score r2-score stochastic-gradient-descent descion-making-systems gradient-boosting-classifier kaggle-competition kaggle-house-prices xgboost random-forest-regressor gradient-boosting-machine
Language:Python 2
aarvindshaw / Boston_House_Pricing_Regression_Machine_Learning
All things around ... Regression
regression linear-regression decision-tree-regression support-vector-regression random-forest-regression gradient-boosting-regression knn-regression xgboost-regression mean-squared-error r2-score regression-models
Language:Jupyter Notebook 1
guilhermedom / perceptron-regression-ice-cream-per-temp
Perceptron regressing revenue for an ice cream stand according to temperature.
linear-regression linear-regression-assumptions mean-absolute-error neural-network-regression ordinary-least-squares-regression perceptron python r2-score scikit-learn simple-linear-regression tensorflow revenue-regression chi-squared-distribution normal-distribution qq-plot
Language:Jupyter Notebook 1
himasai97 / ML_Approaches
ML implementations in Multi-scale model for lignin biosynthesis in Populus Trichocarpa
lignin-biosynthesis multi-scale-model populus-trichocarpa svr support-vector-regression xgboost xgbregressor knn-regression gridsearchcv kfold-cross-validation shap shapley-values shapley-additive-explanations interpretable-machine-learning r2-score thesis
Language:Jupyter Notebook 1
immanuvelprathap / Agriculture-Project
gradient-boosting-regressor random-forest-regression svm decision-tree-regression r2-score scikitlearn-machine-learning
Language:Jupyter Notebook 1
indrapaul824 / Sem-3-Project-TMDb-Movie-Analysis-and-Modeling
A Preprocessing, Analytical and Modeling Case Study using Supervised ML Models
machine-learning preprocessing eda predictive-modeling linear-regression logistic-regression random-forest seaborn matplotlib-pyplot numpy pandas k-fold-cross-validation accuracy-score r2-score
Language:Jupyter Notebook 1
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.
boxplot correlation-matrix machine-learning seaborn statistics numpy pandas frequency-analysis scikit-learn predictive-modeling r2-score
Language:Jupyter Notebook 1
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.
boxplot data-visualization linear-regression machine-learning python r2-score seaborn statistical-analysis statsmodels
Language:Jupyter Notebook 1
jong26 / rainfall_prediction_ml
This project used various machine learning algorithms to predict rainfall.
decision-trees f1-score jaccard-similarity knn linear-regression logistic-regression mean-absolute-error mean-squared-error r2-score svm
Language:Jupyter Notebook 1
kalsam123 / Boston-House-price-prediction-using-regression
A machine learning web app for Boston house price prediction.
sklearn linear-regression xgboost-regression flask python machine-learning pandas matplotlib boston-housing-price-prediction random-forest-regression seaborn numpy cross-validation r2-score rmse joblib regression-models regression boston-housing-dataset boston-housing-prices
Language:Jupyter Notebook 1
martmallol / nm-life-expectancy
Numerical Methods: "Life Expectancy & Linear Regression" Group Project - 2nd Semester 2021 - Computer Science, UBA
linear-regression r2-score rmse-score cook-distance least-square-regression life-expectancy prediction residuals t-student-distribution
Language:C++ 1
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.
data-visualization dimensionality-reduction numpy pandas pca-analysis r2-score sklearn sklearn-metrics sklearn-model xgboost xgboost-regression
Language:HTML 1
mikel-brostrom / Flight_Delay_Predictor
Flight delay prediction based on the 2007 entries from the US domestic flight database
predicting-flight-delays a-priori-knowledge r2-score random-forest gradient-boosting us-domestic-flight-database
Language:Jupyter Notebook 1
MrRaghav / airbnb-in-berlin-2020
A data mining project to analyse Airbnb's data of Berlin for the year 2020 using KDD
airbnb berlin data-mining kdd linear-regression knn decision-trees random-forest rmse r2-score mean-absolute-error seasonality insideairbnb word-cloud amenities neighborhood outliers data-processing missing-data large-dataset
Language:Jupyter Notebook 1
mustaffa-hussain / Performance-Metric
This Repository contains scratch implementations of the famous metrics used to evaluate machine learning models.
auc accuracy f1-score confusion-matrix mse mean-square-error mean-absolute-error r2-score precision
Language:Jupyter Notebook 1
PaletiKrishnasai / Analytics_of_crimes_in_India
Detailed data analysis followed by predictive analytics of crimes in india over a period of 2001-2013.
crimes-data crimes-india decision-tree-regression exploratory-data-analysis knn-regression predictive-analytics r2-score random-forest-regressor
Language:Jupyter Notebook 1
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.
decision-tree-regression linear-regression machine-learning machine-learning-lifecycle ml pandas r2-score random-forest-regression regression sklearn-library sklearn-models sklearn-tree ml-life sklearn-ensemble
Language:Python 0
davutbayik / Bus-Usage-Forecasting
Time Series Forecasting - Bus Usage Prediction
r2-score rmse-score time-series time-series-analysis time-series-forecasting xgboost-regression
Language:Jupyter Notebook 0
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.
ols-regression r2-score train-test train-test-validation
Language:Jupyter Notebook 0
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.
artificial-intelligence cross-validation data-cleaning data-extraction decision-tree-regression feature-engineering labelencoder linear-regression machine-learning mae ml model-building mse r2-score random-forest-regression regression standardisation xgboost-regression rmse
Language:Jupyter Notebook 0
ericyoc / exploratory_data_analysis_poc
A demonstration of exploartory data analysis with hypothesis testing.
exploratory-data-analysis hypothesis-testing linear-regression mean-square-error r2-score
Language:Jupyter Notebook 0
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.
bank decisiontreeclassifier f1-score matplotlib-pyplot mean-absolute-error mean-squared-error numpy pandas python3 r2-score randomforrestclassifier roc-auc-score scipy-stats seaborn sklearn
Language:Jupyter Notebook 0
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.
mean-squared-error r2-score residual-analysis root-mean-square-error simple-linear-regression
Language:HTML 0
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.
lasso-regression linear-regression machine-learning mean-square-error ols-regression r2-score ridge-regression scaling-methods sklearn statsmodels train-test-using-sklearn variance-inflation-factor
Language:Jupyter Notebook 0
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.
aws-cloud azure ci-cd dataingestion exception-handling flask-webapp github-actions hyperparameter-tuning logging python3 gradientboostingregressor kneighborsregressor linearregression randomforestregressor decisiontreeregressor r2-score xgboost-regressor modelevaluation modeltraining
Language:Jupyter Notebook 0
QuanHoangNgoc / Linear_Regression_NE_SGD_GD_R2.tkhmt
🌌 📚 This project embarks on an exploration in the Mathematical Foundations of Computer Science, heralding the inaugural semester of 2023 with a profound dive into the realm of Linear Regression.
gradient-descent learning-rate-estimation linear-regression normalequation r2-score sgd-optimizer
Language:Jupyter Notebook 0
thinhnguyen0311 / Kaggle-Olympic-Medals-Prediction
data data-science kaggle linear-regression machine-learning numpy pandas python r2-score scikit-learn feature-engineering
Language:Jupyter Notebook 0
venkatesh182002 / TMDb_Analysis
A Preprocessing Modelling Study using Supervised ML Models
eda k-fold-cross-validation matplotlib-pyplot ml numpy pandas r2-score random-forest regression-models seaborn
Language:Jupyter Notebook 0
dhruwsunita / Used-Car-Price-Predictor
Used cars price prediction using Python, Machine Learning, HTML and CSS.
car-price-predictor css data-science html linear-regression machine-learning python r2-score
Language:Jupyter Notebook
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.
data-visualization decision-tree-regression grid-search-cv lasso-regression linear-regression matplotlib mean-absolute-error mean-squared-error numpy python3 r2-score random-forest-regression randomized-search-cross-validation ridge-regression seaborn sklearn spotify standardscaler
Language:Jupyter Notebook
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
bidirectional-lstm data data-science deep-learning deep-neural-networks dropout dropout-layers early-stopping forecasting machine-learning machine-learning-algorithms python python3 r2-score rnn stock-price-prediction
Language:Jupyter Notebook
YaminiGhumre / salary_prj2
Linear_Regression_Practical_Salary
data linear-regression pandas preprocessing-data r2-score
Language:Python

r2-score

boosuro / profit_estimation_of_companies

sai-123-code / JOBATHON_FEB2022

Masihsoniya / House-price-prediction

Py-Contributors / metrics

vshantam / House-Prices-Advanced-Regression-Techniques

aarvindshaw / Boston_House_Pricing_Regression_Machine_Learning

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

himasai97 / ML_Approaches

immanuvelprathap / Agriculture-Project

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

Jean-LucasLS / Regressao-Linear-1

Jean-LucasLS / Regressao-Linear-2

jong26 / rainfall_prediction_ml

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

martmallol / nm-life-expectancy

MezbanS / Mercedes-Benz-Greener-Manufacturing

mikel-brostrom / Flight_Delay_Predictor

MrRaghav / airbnb-in-berlin-2020

mustaffa-hussain / Performance-Metric

PaletiKrishnasai / Analytics_of_crimes_in_India

abhipatel35 / ML-Regression-Lifecycle

davutbayik / Bus-Usage-Forecasting

DerekEgenti / Basic-Linear-Regression-

elmezianech / Food-Delivery-Time-Prediction

ericyoc / exploratory_data_analysis_poc

GunturWibawa / BetaBankChurnAnalysis

Jhay001 / EDA-And-Sales-Prediction-using-SLR

Niteshchawla / Jamboree-LinearRegression

OmerGamie / mlproject

QuanHoangNgoc / Linear_Regression_NE_SGD_GD_R2.tkhmt

thinhnguyen0311 / Kaggle-Olympic-Medals-Prediction

venkatesh182002 / TMDb_Analysis

dhruwsunita / Used-Car-Price-Predictor

GunturWibawa / SpotifyPopularityProbe

vaibhavdangar09 / Stock_Market_Prediction_And_Forecasting_Using_Bidirectional_LSTM_RNN

YaminiGhumre / salary_prj2