cooks-distance

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Avinash793 / regression-analysis-examples
Detailed implementation of various regression analysis models and concepts on real dataset.
autocorrelation cooks-distance feature-engineering goodness-of-fit heteroskedasticity influential-cases leverages multicollinearity multiple-linear-regression-model ols-regression-model outliers poisson-regression-model python3 q-q-plot quantile-regression regression-analysis regression-diagnostics residuals simple-linear-regression gls-regression-model
Language:Jupyter Notebook 3
vaitybharati / Assignment-05-Multiple-Linear-Regression-1
Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.
python multiple-linear-regression statsmodels regression-plots influence-plot correlation-analysis pairplot ols ols-regression-model p-values r-square-values cooks-distance leverage-score scatter-plot
Language:Jupyter Notebook 3
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
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.
python multiple-linear-regression eda correlation-analysis scatter-plot smf statsmodels ols-regression rsquare-values collinearity-diagnostics residual-analysis homoscedasticity heteroscedasticity cooks-distance leverage-value influence-plot
Language:Jupyter Notebook 3
sanketmaneDS / Multilinear_Regression
This repository contains notebook introducing reader to basic concepts of multilinear regression and its application.
cooks-distance multilinear-regression transformations influence-points
Language:Jupyter Notebook 2
BalajiN743 / Multi-Linear-Regression-examples
cooks-distance correlation-analysis exploratory-data-analysis feature-selection homoscedasticity multilinear-regression preprocessing-data
Language:Jupyter Notebook 1
manasik29 / Prediction-of-Salary-of-individuals-based-of-Years-of-Experience
Prediction of Salary of individuals based on years of experience
cooks-distance homoscedasticity influence-plot linear-regression machine-learning ols-regression qqplots residuals
Language:Jupyter Notebook 1
MoinDalvs / Assignment_Multi_linear_regression_2
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")]
data-science data-structures data-visualization predictive-modeling exploratory-data-analysis feature-engineering feature-selection multi-collinearity-issue cooks-distance influencers outliers-detection outlier-removal
Language:Jupyter Notebook 1
MoinDalvs / Learn_Multi_Linear_Regression
Prediction of Miles per gallon (MPG) Using Cars Dataset
multi-linear-regression data-science variance-inflation-factor feature feature-engineering feature-selection data-preprocessing correlation-matrix residual-analysis normality-test partial-least-squares-regression cooks-distance high-leverage outliers-detection outliers-influence i
Language:Jupyter Notebook 1
Prem-98 / Multi-linear-regression
MLR assignment
mlr pandas regression-models pyforest matplotlib seaborn math aic rsquare-values cooks-distance influencer influencer-plot
Language:Jupyter Notebook 1
ShaikRiyazSandy / Multi-Linear-Regression
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_
cooks-distance data-science data-structures data-visualization exploratory-data-analysis feature-engineering feature-selection influencers multi-collinearity-issue outlier-detection outlier-removal predective-modeling
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
manasik29 / Aim-is-to-study-how-well-the-WC-area-predict-AT
Business Case : The Waist Circumference - Adipose Tissue
cooks-distance homoscedasticity ols-regression qqplots regression-model residuals simple-linear
Language:Jupyter Notebook 0
PatilSukanya / Assignment-05.-Multiple-Linear-Regression-Q1
Used libraries and functions as follows:
cooks-distance correlation-analysis influence-plot leverage-score multiple-linear-regression ols ols-regression-model p-values pairplot python regression-plots scatter-plot statsmodels r-square-model
Language:Jupyter Notebook 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
Siddharth1989 / MonthlyUtilityBillEstimation
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.
box-plot cooks-distance correlation k-fold-cross-validation linear-regression machine-learning regression-models rmse stepwise-regression stepwise-selection
Language:Jupyter Notebook 0
vokereke / uswage_linear_regression
Predicting wage in the uswage dataset (Linear Regression). Model Selection, Model Diagnostics etc.
linear-regression model-selection model-diagnostics cooks-distance outlier-detection qqplot breusch-pagan
0
manasik29 / Multi_Linear_Regression_on_Cars_data_to_predict_MPG
Multi_Linear_Regression_on_Cars_data_to_predict_MPG
cooks-distance influence-plots multiple-linear-regression ols-regression qqplots residuals
Language:Jupyter Notebook
manasik29 / Prediction-model-for-predicting-Price-of-Cars
Prediction-model-for-predicting-Price-of-Cars
cooks-distance influence-plots multi-linear-regression ols-regression-model qqplots residuals
Language:Jupyter Notebook
manasik29 / Prediction-model-for-profit-of-50_startups-data
Prediction model for profit of 50_startups data
cooks-distance influenceplots multi-linear-regression ols-regression qqplots residuals
Language:Jupyter Notebook
manasik29 / Prediction-of-Delivery-Time-of-newspaper-using-Sorting-Time
Prediction of Delivery Time of newspapers using Sorting Time
cooks-distance homoscedasticity influence-plot linear-regression machine-learning ols-regression qqplots residuals
Language:Jupyter Notebook
manasik29 / Simple-Linear-Regression-Newspaper-Data
Feasibility of staring a Sunday edition for a large Metroplitan newsapaper
cooks-distance machine-learning ols-regression qqplots residual-analysis simple-linear-regression correlation
Language:Jupyter Notebook

cooks-distance

Avinash793 / regression-analysis-examples

vaitybharati / Assignment-05-Multiple-Linear-Regression-1

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

vaitybharati / P27.-Supervised-ML---Multiple-Linear-Regression---Toyoto-Cars

sanketmaneDS / Multilinear_Regression

BalajiN743 / Multi-Linear-Regression-examples

manasik29 / Prediction-of-Salary-of-individuals-based-of-Years-of-Experience

MoinDalvs / Assignment_Multi_linear_regression_2

MoinDalvs / Learn_Multi_Linear_Regression

Prem-98 / Multi-linear-regression

ShaikRiyazSandy / Multi-Linear-Regression

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

manasik29 / Aim-is-to-study-how-well-the-WC-area-predict-AT

PatilSukanya / Assignment-05.-Multiple-Linear-Regression-Q1

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

Siddharth1989 / MonthlyUtilityBillEstimation

vokereke / uswage_linear_regression

manasik29 / Multi_Linear_Regression_on_Cars_data_to_predict_MPG

manasik29 / Prediction-model-for-predicting-Price-of-Cars

manasik29 / Prediction-model-for-profit-of-50_startups-data

manasik29 / Prediction-of-Delivery-Time-of-newspaper-using-Sorting-Time

manasik29 / Simple-Linear-Regression-Newspaper-Data