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vikrantarora25 / car-price-prediction-highly-comprehensive-linear-regression-project- Goto Github PK

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A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.

Jupyter Notebook 100.00%
regression regression-analysis regression-models linear-regression regression-algorithms cross-validation kfold-cross-validation recursive-algorithm recursive-feature-elimination rfe

car-price-prediction-highly-comprehensive-linear-regression-project-'s Issues

[bug] Couldn't use (model.resid)

Hi, This is really a great job! thank you i learn a lot from it and from the references you mention.
Anyway, when I try to run any cell contains model.resid
I get this error

AttributeError                            Traceback (most recent call last)
<ipython-input-137-c4481da1ff48> in <module>()
     25     print('If the returned Anderson Draling statistic is larger than the critical value, then for the 5% significance level, the null hypothesis that the data come from the Normal distribution should be rejected. ')
     26 
---> 27 normality_of_residuals_test(lm)

<ipython-input-137-c4481da1ff48> in normality_of_residuals_test(model)
     10     '''
     11 
---> 12     sm.ProbPlot(model.resid).qqplot(line='s');
     13     plt.title('Q-Q plot');
     14 

AttributeError: 'LinearRegression' object has no attribute 'resid'

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