GitHub - sandipanpaul21/EDA-in-Python: Exploratory Data Analysis Theory and Python Code

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
01_About_the_Datasets.ipynb		01_About_the_Datasets.ipynb
02_EDA_Overall_Steps.pdf		02_EDA_Overall_Steps.pdf
03_Univariate_Analysis.pdf		03_Univariate_Analysis.pdf
04_SD_Variance.pdf		04_SD_Variance.pdf
05_Covariance_Pearson_Spearman_Correlation.pdf		05_Covariance_Pearson_Spearman_Correlation.pdf
06_Correlation_Causation.pdf		06_Correlation_Causation.pdf
07_Univariate_Analysis.ipynb		07_Univariate_Analysis.ipynb
08_Bivariate_Analysis.pdf		08_Bivariate_Analysis.pdf
09_Collinearity_Multi Collinearity.pdf		09_Collinearity_Multi Collinearity.pdf
10_Variation_Inflation_Factor_(VIF).pdf		10_Variation_Inflation_Factor_(VIF).pdf
11_Chi_Square_Test.pdf		11_Chi_Square_Test.pdf
12_Categorical_variable_Interaction_Terms.pdf		12_Categorical_variable_Interaction_Terms.pdf
13_T_test.pdf		13_T_test.pdf
14_One_Way_Two_Way_Anova.pdf		14_One_Way_Two_Way_Anova.pdf
15_Z_test_Z_score.pdf		15_Z_test_Z_score.pdf
16_Bivariate_Analysis.ipynb		16_Bivariate_Analysis.ipynb
17_KNN_Imputation.pdf		17_KNN_Imputation.pdf
18_Z_Score.pdf		18_Z_Score.pdf
19_Outliers_&_Missing_Values.ipynb		19_Outliers_&_Missing_Values.ipynb
20_Scaling_Normalisation_Standardisation.pdf		20_Scaling_Normalisation_Standardisation.pdf
21_Feature_Engineering.ipynb		21_Feature_Engineering.ipynb

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Exploratory Data Analysis Theory and Python Code

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