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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

Language: R - Size: 14.5 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 0

PayThePizzo/Predictive-Analysis-Notes 📦

Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice

Language: HTML - Size: 30.5 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

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.

Language: Jupyter Notebook - Size: 3.54 MB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

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.

Language: Jupyter Notebook - Size: 669 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 9

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.

Language: Jupyter Notebook - Size: 507 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

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

Language: Jupyter Notebook - Size: 670 KB - Last synced at: about 2 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

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

Used libraries and functions as follows:

Language: Jupyter Notebook - Size: 337 KB - Last synced at: about 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

favstats/multicol_sim

Analyzing Multicollineaerity with a little simulation

Language: HTML - Size: 23.6 MB - Last synced at: 24 days ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0