influence-plot

There are 0 repository under influence-plot topic.

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 / 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
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
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
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

influence-plot

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

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

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

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

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

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