/Exploratory-Data-Analysis-EDA-

Data Cleaning, Data Imputation, Data Visualisation, Data Normalisation

Primary LanguageJupyter Notebook

Exploratory-Data-Analysis-EDA-

Data Cleaning, Data Imputation, Data Visualisation, Data Normalisation

EDA1_Data_Cleaning_by_dropping_Null_Values

EDA2_Data_Cleaning_with_the_help_of_Mean_and_Median

EDA3_filling_each_categorical_data_using_mode

EDA4_replace_null_values_of_each_class_column_feature_by_refrence_

EDA5_Missing_Value_imputation_using_Scikit_Learn_SimpleImputer_strategy_used_mean_,constant_value_,_mode

EDA6 Missing value imputation using Scikit_Learn Strategies SimpleImputer,ColumnTransform,Pipeline

EDA7 Label Encoding