homoscedasticity

There are 0 repository under homoscedasticity topic.

pvh95 / ols_bootstrap
OLS Bootstrap on Cross-Sectional Data
linear-regression ols bootstrap cross-sectional-data wild-bootstrap pairs-bootstrap residual-bootstrap hce heteroscedasticity homoscedasticity heteroscedasticity-consistent bc bca bootstrap-t white-errors white mackinnon webb
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
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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.
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
BalajiN743 / Multi-Linear-Regression-examples
cooks-distance correlation-analysis exploratory-data-analysis feature-selection homoscedasticity multilinear-regression preprocessing-data
Language:Jupyter Notebook 1
chinmayeeguru / Bike-Sharing-Linear-Regression-Model
To model the demand for shared bikes with the available independent variables
homoscedasticity linear-regression minmaxscalar modelbuilding multicollinearity normaldistribution recursive-feature-elimination residual-analysis train-test-split
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
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-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
RudraChatterjee / PricePrediction_Regression
Explored the dataset of a company that specializes in the reselling of used and refurbished devices. The objective of this project was to determine the future price of used phones and identify the factors that significantly influence them using a linear regression model with python
data-visualization exploratory-data-analysis homoscedasticity linear-regression multicollinearity onehot-encoding p-value python statistical-inference statsmodels supervised-learning machine-learning feature-engineering missing-value-treatment outlier-detection
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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
collinearity-diagnostics cooks-distance correlation-analysis eda heteroscedasticity homoscedasticity leverage-score multi-linear-regression numpy ols-regression p-value pair-plot python r-square-values regress-exog residual-analysis smf statsmodels vif
Language:Jupyter Notebook 0
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

homoscedasticity

pvh95 / ols_bootstrap

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

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

BalajiN743 / Multi-Linear-Regression-examples

chinmayeeguru / Bike-Sharing-Linear-Regression-Model

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

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-Q2

RudraChatterjee / PricePrediction_Regression

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

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