Topic: "collinearity-diagnostics"
rsquaredacademy/olsrr
Tools for developing OLS regression models
Language: R - Size: 32.9 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 101 - Forks: 23

sduxbury/vif-ergm
R function to detect multicollinearity in ERGM
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PayThePizzo/Predictive-Analysis-Notes 📦
Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice
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vaitybharati/P27.-Supervised-ML---Multiple-Linear-Regression---Toyoto-Cars
Supervised-ML---Multiple-Linear-Regression---Toyota-Cars. 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.
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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.
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friendly/VisCollin
Visualizing Collinearity Diagnostics
Language: R - Size: 2.32 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 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.
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shwetapardhi/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 t
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PatilSukanya/Assignment-05.-Multiple-Linear-regression-Q2
Used libraries and functions as follows:
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favstats/multicol_sim
Analyzing Multicollineaerity with a little simulation
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