Topic: cooks-distance Goto Github
Some thing interesting about cooks-distance
Some thing interesting about cooks-distance
cooks-distance,Detailed implementation of various regression analysis models and concepts on real dataset.
User: avinash793
cooks-distance,Business Case : The Waist Circumference - Adipose Tissue
User: manasik29
cooks-distance,Multi_Linear_Regression_on_Cars_data_to_predict_MPG
User: manasik29
cooks-distance,Prediction-model-for-predicting-Price-of-Cars
User: manasik29
cooks-distance,Prediction model for profit of 50_startups data
User: manasik29
cooks-distance,Prediction of Delivery Time of newspapers using Sorting Time
User: manasik29
cooks-distance,Prediction of Salary of individuals based on years of experience
User: manasik29
cooks-distance,Feasibility of staring a Sunday edition for a large Metroplitan newsapaper
User: manasik29
cooks-distance,Consider only the below columns and prepare a prediction model for predicting Price. Corolla<-Corolla[c("Price","Age_08_04","KM","HP","cc","Doors","Gears","Quarterly_Tax","Weight")]
User: moindalvs
cooks-distance,Prediction of Miles per gallon (MPG) Using Cars Dataset
User: moindalvs
cooks-distance,Used libraries and functions as follows:
User: patilsukanya
cooks-distance,Used libraries and functions as follows:
User: patilsukanya
cooks-distance,MLR assignment
User: prem-98
cooks-distance,This repository contains notebook introducing reader to basic concepts of multilinear regression and its application.
User: sanketmaneds
cooks-distance,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. Consider only the below columns and prepare a prediction model for predicting Price. Corolla<-Corolla[c("Price","Age_
User: shaikriyazsandy
cooks-distance,Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.p
User: shwetapardhi
cooks-distance,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
cooks-distance,The given dataset contains electricity consumer household information. This information has been used to predict the amount to be paid by the consumer with the help of regression model selection and validated with feature importance.
User: siddharth1989
cooks-distance,Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.
User: vaitybharati
cooks-distance,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
cooks-distance,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
cooks-distance,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.
User: vaitybharati
cooks-distance,Predicting wage in the uswage dataset (Linear Regression). Model Selection, Model Diagnostics etc.
User: vokereke
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