vif

There are 0 repository under vif topic.

photosynthesis-team / piq
Measures and metrics for image2image tasks. PyTorch.
image-quality-assessment image-quality image-to-image metrics measures gan generative-models pytorch python3 image-metrics iqa ssim ms-ssim mse psnr fid kid vif brisque
Language:Python 1287
dingkeyan93 / IQA-optimization
Comparison of IQA models in Perceptual Optimization
pytorch optimization loss-functions image-quality-assessment steerable-filters vif fsim lpips dists ssim iqa
Language:Python 286
soroushchehresa / VIF
💨 A desktop application to convert videos to high-quality GIF built with Electron and React
vif video-to-gif video converter gif gif-animation convert-videos cross-platform react video-converter electron
Language:JavaScript 29
Polkas / miceFast
R enviroment - fast imputations :dragon:
r package imputation rcpp rcpparmadillo cpp grouping weighting vif fast-imputations matrix multiple-imputation mro fast imputations
Language:R 18
BorisLabs / terraform-aws-directconnect
Terraform module to setup AWS Direct Connect resources
aws dx-connection dx-gateway terraform terraform-module vif virtual-interface
Language:HCL 12
sauhard2701 / Fraud-Transaction-Detection
INSAID Assignment to create a ML model to detect fraud transactions for a financial company.
ai ai-ml artificial-intelligence decision-tree decision-tree-classifier decision-trees evaluation-metrics hold-out insaid insaid-assignment internship internship-task label-encoding machine-learning ml random-forest random-forest-classifier variance-inflation-factor vif
Language:Jupyter Notebook 12
easthobb / Diabetes-Analysis
'21 한국통신학회 동계종합학술발표회 투고 논문, "XGBoost기반 당뇨병 예측 알고리즘 연구:2016~2018을 이용하여" 연구 과정 전반의 Open Archive입니다.
machine-learning diabetes-prediction vif xgboost open-archives
Language:Jupyter Notebook 4
vaitybharati / Assignment-05-Multiple-Linear-Regression-2
Assignment-05-Multiple-Linear-Regression-2. Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in the past few years State -- states from which data is collected Profit -- profit of each state in the past few years.
python statsmodels smf eda correlation-analysis pairplot ols-regression multi-linear-regression p-value rsquare-values collinearity-diagnostics residual-analysis vif homoscedasticity heteroscedasticity regress-exog cooks-distance leverage-score mlr numpy
Language:Jupyter Notebook 3
Statistics-and-probability
Vitomir84 / Statistics-and-probability
Statistical concepts, from statistical inference to Bayes probability and different distribution types
distribution statistics machine-learning python data-science tukey box-cox vif
Language:Jupyter Notebook 3
ArkaB-DS / regressionProjectIITK
This is a group project for MTH416A: Regression Analysis at IIT Kanpur
scatterplot-matrix ozone variance-decompotion-proportion vif rmse alternating-conditional-expectation qq-plot shapiro-wilk breusch-pagan ridge-regression principal-components-regression aic mallows-cp stepwise-selection scree-plot box-cox auto-arima prediction multiple-time-series r
Language:R 2
kshitij-raj / Bike-Share-Prediction
Predictive model that tells important factors(or features) affecting the demand for shared bikes
dummy-variables linear-regression minmaxscaling python3 rfe vif
Language:Jupyter Notebook 2
SMQuadri / Geely-Car-Price-Prediction
Machine Learning Project
ols-regression datavisualization vif rfe data-preprocessing ml-models
Language:Jupyter Notebook 2
AmbrishAdithiya / Sale-Price-Prediction
The objective of this project is to find the variables which most affect in predicting the price of a property from the data.
eda linear-regression price-prediction data-analysis data-visualization vif
Language:Jupyter Notebook 1
Mahdiazhari / Code-capstone
Final Capstone project at Amsterdam University College. Analyzed house prices using hedonic regression and Neural Network.
hedonic regression neural-network vif
Language:Jupyter Notebook 1
marinafajardo / prevendo-customer-churn
Prevendo Customer Churn em Operadoras de Telecom
customer-churn binary-classification logistic-regression cross-validation linear-discriminant-analysis knn gaussian-naive-bayes cart svm-classifier accuracy auc variance-inflation-factor vif imbalanced-data normalization standardization exploratory-data-analysis grid-search-hyperparameters python machine-learning
Language:Jupyter Notebook 1
nitingour1203 / Intelligent-Video-Surveillance
An intelligent video surveillance system also provides video cameras and recording solutions to monitor every part of the building and site perimeter. Yet it also utilizes smart security technology such as sensors and AI models.
auc computer-vision daal deep-learning-algorithms gmm keras-neural-networks lbstm lstm numpy-library os svm vif yolov7
1
personal-loan-modelling
sandyy2505 / personal-loan-modelling
Supervised Classfication models - Logistic Regression & Decision Tree, AUC-ROC Curve
statsmodels auc-roc-curve logistic-regression decision-tree gridsearchcv vif cost-complexity-pruning recall-score
Language:Jupyter Notebook 1
vaitybharati / P26.-Supervised-ML---Multiple-Linear-Regression---Cars-dataset
Supervised-ML---Multiple-Linear-Regression---Cars-dataset. Model MPG of a car based on other variables. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Leverage value, Improving the Model, Model - Re-build, Re-check and Re-improve - 2, Model - Re-build, Re-check and Re-improve - 3, Final Model, Model Predictions.
python eda statsmodels influence-plot correlation-analysis scatter-plot ols-regression multi-linear-regression p-values r-square-values t-score collinearity-diagnostics residual-analysis vif homoscedasticity heteroscedasticity cooks-distance leverage-value aic
Language:Jupyter Notebook 1
aditya-mishra25 / Linear_Regression_Boom_Bikes
This is a Linear Regression Project, we have created multiple models using different feature selection techniques to predict the future demands for a bike company.
linear-regression vif rfe
Language:Jupyter Notebook 0
Akashash01 / Logistic-regresion
This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.
data-science machine-learning python supervised-learning classification pandas numpy nonlinear-regression auc-roc-curve vif woe-and-iv kolmogorov-smirnov confusion-matrix
0
Arunangshu-Nandy / Wind-Power-Prediction-
columntransformer cross-validation duplicate-detection machine-learning numpy onehot-encoding pandas pipeline uniqu vif
Language:Jupyter Notebook 0
ashish1610dhiman / isye6414_group_project
isye6414_group_project
lasso-regression regression-analysis regression-models spotify-web-api vif
Language:Jupyter Notebook 0
Dipti028 / BikeSharingAssignment
To build a multiple linear regression model for the prediction of demand for shared bikes.
exploratory-data-analysis multiple-linear-regression pvalue python rfe seaborn sklearn statsmodels vif bikesharing machine-learning
Language:Jupyter Notebook 0
Niranjan-stat / Regression-Analysis-on-Drinking-Data
Linear regression, VIF, Auto Correlation.
auto-correlation linear-regression multicollinearity outlier-detection r-programming vif
Language:R 0
PatilSukanya / Assignment-05.-Multiple-Linear-regression-Q2
Used libraries and functions as follows:
collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score mlr multiple-linear-regression numpy ols-regression pairplot python regress-exog residual-analysis rsquare-values smf statsmodels vif
Language:Jupyter Notebook 0
priya-aggarwal27 / Linear-Regression
A boat-sharing system is a service in which boats are made available for city tour. Required to model the demand for open boats with the available independent variables. It will be used by the management to understand how exactly the demands vary with different features. They can accordingly manipulate the business strategy to meet the demand levels and meet the customer's expectations. Further, the model will be a good way for management to understand the demand dynamics of a new market.
supervised-learning visualization onehot-encoding standardscaler linear-regression vif residual-analysis
Language:Jupyter Notebook 0
PriyankaSett / House_price_prediction
Boston house price prediction using Linear Regression.
boston-housing-price-prediction decision-tree-regression eda flask knn-regressor linear-regression modular-components outlier-detection pipeline random-forest-regression robust-scaling svm-regressor vif
Language:Python 0
rmead7 / Aerial-Biomass-Production
Linear Regression to identify the important physicochemical properties of the substrate that influence the aerial biomass production in the Cape Fear Estuary.
best-subset-selection correlation-matrix linear-regression principle-component-analysis residuals vif
Language:R 0
Subham2S / Bank-Scheme-Subscription-Prediction
Logistic regression model focusing on significant features extraction using different methods
feature-selection logistic-regression vif somers banking-applications logit smf
Language:Jupyter Notebook 0
akashkriplani / bike-sharing-assigment
This project tackles BoomBikes' post-Covid revenue decline by predicting shared bike demand after the lockdown. A consulting company identifies key variables impacting demand in the American market. The goal is to model demand, aiding BoomBikes in adapting its strategy to meet customer expectations and navigate market dynamics.
linear-regression machine-learning machine-learning-algorithms numpy pandas scikit-learn statsmodels vif datascience linearregression-gradientdescent rfe
Language:Jupyter Notebook
amruta33 / Housing_Price_Prediction
Consider a real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimise the sale prices of the properties based on important factors such as area, bedrooms, parking, etc.
linear-regression numpy pandas python rfe vif
Language:Jupyter Notebook
DataScienceVishal / House-Price-Prediction
Linear Regression+Decision Tree+Random Forest
decision-trees dummy-variables-encoding eda linear-regression minmaxscaling random-forest vif
Language:Jupyter Notebook
DataScienceVishal / Lead_Scoring
Lead_Scoring Case Study using Logistic Regression
dummy-variables-encoding eda logistic-regression rfe vif
Language:Jupyter Notebook
dayanacavalcante / Multicollinearity_VIF
Quantify multicollinearity by VIF
multicollinearity vif
Language:Python
douaa-l / Regression
In this repository works using diffrent types of regressions
linear-regression multiple-linear-regression polynomial-regression vif logistic-regression roc
Language:Jupyter Notebook
vitorpbarbosa7 / VIF_LinearRegression
Verificar Hipóteses da Regressão Linear
linear-regression data-science data-analysis exploratory-data-analysis machine-learning vif python jupyter-notebook hypothesis-testing
Language:Jupyter Notebook

vif

photosynthesis-team / piq

dingkeyan93 / IQA-optimization

soroushchehresa / VIF

Polkas / miceFast

BorisLabs / terraform-aws-directconnect

sauhard2701 / Fraud-Transaction-Detection

easthobb / Diabetes-Analysis

vaitybharati / Assignment-05-Multiple-Linear-Regression-2

Vitomir84 / Statistics-and-probability

ArkaB-DS / regressionProjectIITK

kshitij-raj / Bike-Share-Prediction

SMQuadri / Geely-Car-Price-Prediction

AmbrishAdithiya / Sale-Price-Prediction

Mahdiazhari / Code-capstone

marinafajardo / prevendo-customer-churn

nitingour1203 / Intelligent-Video-Surveillance

sandyy2505 / personal-loan-modelling

vaitybharati / P26.-Supervised-ML---Multiple-Linear-Regression---Cars-dataset

aditya-mishra25 / Linear_Regression_Boom_Bikes

Akashash01 / Logistic-regresion

Arunangshu-Nandy / Wind-Power-Prediction-

ashish1610dhiman / isye6414_group_project

Dipti028 / BikeSharingAssignment

Niranjan-stat / Regression-Analysis-on-Drinking-Data

PatilSukanya / Assignment-05.-Multiple-Linear-regression-Q2

priya-aggarwal27 / Linear-Regression

PriyankaSett / House_price_prediction

rmead7 / Aerial-Biomass-Production

Subham2S / Bank-Scheme-Subscription-Prediction

akashkriplani / bike-sharing-assigment

amruta33 / Housing_Price_Prediction

DataScienceVishal / House-Price-Prediction

DataScienceVishal / Lead_Scoring

dayanacavalcante / Multicollinearity_VIF

douaa-l / Regression

vitorpbarbosa7 / VIF_LinearRegression