Topic: vif Goto Github
Some thing interesting about vif
Some thing interesting about vif
vif,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.
User: aditya-mishra25
vif,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.
User: akashash01
vif,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.
User: akashkriplani
vif,The objective of this project is to find the variables which most affect in predicting the price of a property from the data.
User: ambrishadithiya
vif,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.
User: amruta33
vif,This is a group project for MTH416A: Regression Analysis at IIT Kanpur
User: arkab-ds
vif,isye6414_group_project
User: ashish1610dhiman
vif,Terraform module to setup AWS Direct Connect resources
Organization: borislabs
Home Page: https://registry.terraform.io/modules/BorisLabs/directconnect/aws/latest
vif,Linear Regression+Decision Tree+Random Forest
User: datasciencevishal
vif,Lead_Scoring Case Study using Logistic Regression
User: datasciencevishal
vif,Quantify multicollinearity by VIF
User: dayanacavalcante
vif,Comparison of IQA models in Perceptual Optimization
User: dingkeyan93
vif,To build a multiple linear regression model for the prediction of demand for shared bikes.
User: dipti028
vif,In this repository works using diffrent types of regressions
User: douaa-l
vif,'21 한국통신학회 동계종합학술발표회 투고 논문, "XGBoost기반 당뇨병 예측 알고리즘 연구:2016~2018을 이용하여" 연구 과정 전반의 Open Archive입니다.
User: easthobb
Home Page: https://www.notion.so/hobbeskim/XGBoost-20-2-2740a0d75839481b8cbefa7cdab69466
vif,Determined the best regression model which represents the data
User: gitakartika
vif,Predictive model that tells important factors(or features) affecting the demand for shared bikes
User: kshitij-raj
vif,Final Capstone project at Amsterdam University College. Analyzed house prices using hedonic regression and Neural Network.
User: mahdiazhari
vif,Prevendo Customer Churn em Operadoras de Telecom
User: marinafajardo
vif,Linear regression, VIF, Auto Correlation.
User: niranjan-stat
vif,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.
User: nitingour1203
vif,Used libraries and functions as follows:
User: patilsukanya
vif,Measures and metrics for image2image tasks. PyTorch.
Organization: photosynthesis-team
vif,R enviroment - fast imputations :dragon:
User: polkas
Home Page: https://polkas.github.io/miceFast/
vif,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.
User: priya-aggarwal27
vif,Boston house price prediction using Linear Regression.
User: priyankasett
vif,Linear Regression to identify the important physicochemical properties of the substrate that influence the aerial biomass production in the Cape Fear Estuary.
User: rmead7
vif,Supervised Classfication models - Logistic Regression & Decision Tree, AUC-ROC Curve
User: sandyy2505
vif,This project uses the Reaction Time Survey dataset to develop a linear regression model for accurately predicting student reaction times based on various predictors. Tech: R (RStudio)
User: saniyaabushakimova
Home Page: https://humanbenchmark.com/tests/reactiontime
vif,INSAID Assignment to create a ML model to detect fraud transactions for a financial company.
User: sauhard2701
vif,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 t
User: shwetapardhi
vif,A linear regression model to predict demand for a bike based on the different conditions like weather conditions, whether a day is a holiday, weekend, or workday and other conditions.
User: smartnamdevoloper
vif,This is a project demonstrating Logistic Regression method using Python. An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.
User: smartnamdevoloper
vif,Machine Learning Project
User: smquadri
vif,💨 A desktop application to convert videos to high-quality GIF built with Electron and React
User: soroushchehresa
vif,an R project of manipulating and fittingdata into regression with 95.5% R-Square, involving Automated Selection, detecting outliers, influential observations and multicollinearity
User: ss2cp
vif,Logistic regression model focusing on significant features extraction using different methods
User: subham2s
vif,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.
User: vaitybharati
vif,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.
User: vaitybharati
vif,Statistical concepts, from statistical inference to Bayes probability and different distribution types
User: vitomir84
vif,Verificar Hipóteses da Regressão Linear
User: vitorpbarbosa7
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