seekingpeace/feature-selection-conversion-rate-dataset

Conversion rate dataset

Question 1

Write a funtion to convert given CSV file to Dataframe

• Define function with name csv_to_dataframe which should accept filepath as a parameter.
• Function should return a dataframe.
• As we require a dataframe, type of return variable should be pandas dataframe.
• In case if we pass filepath which does not exist, function should raise FileNotFoundError.

Question 2

Write a function to convert datatype of given variables to "category"

• Define function with name dtype_category which should accept dataframe and list of columns as parameters.
• Function should return a dataframe with type of given columns changed to "category".
• As we require a dataframe, type of return variable should be pandas dataframe.
• In case if we pass column name which does not exist, function should raise KeyError

Question 3

Write a function to plot correlogram for all numeric variables

• Define function with name plot_corr which should accept dataframeas parameter.
• Function should return plots of numeric variables.
• As we require plot, type of return variable should be matplotlib object.
• In case if we pass column name which does not exist, function should raise KeyError

Question 4

Write a function to list variable-pairs in a dataframe in decreasing value of correlation

• Define function with name correlation_list which should accept dataframe as parameter.
• Function should return list of tuples containing the correlation in decreasing value and name of the features.
• As we require list of tuples, type of return variable should be list.
• In case if we pass column name which does not exist, function should raise KeyError

Question 5

Write a function to add given powers to the list of features

• Define function with name multi_power which should accept dataframe, column_list(list of columns to be transformed), power_list(list of powers required in number) as parameter.
• Function should return transformed dataframe containing new columns.
• As we require a transformed dataframe, type of return variable should be pandas DataFrame.
• In case if we pass column name which does not exist, function should raise KeyError

Question 6

Write a function to add log transform of the list of features

• Define function with name log which should accept dataframe, column_list(list of columns to be transformed)as parameter.
• Function should return transformed dataframe containing new columns.
• As we require a transformed dataframe, type of return variable should be pandas DataFrame.
• In case if we pass column name which does not exist, function should raise KeyError

Question 7

Write a function to add loglog transform of the list of features

• Define function with name loglog which should accept dataframe, column_list(list of columns to be transformed) as parameter.
• Function should return transformed dataframe containing new columns.
• As we require a transformed dataframe, type of return variable should be pandas DataFrame.
• In case if we pass column name which does not exist, function should raise KeyError

Question 8

Write a function to remove rows with infinity and nan values

• Define function with name remove_inf_values which should accept dataframe, column(name of column as string for which infinite values are to be removed) as parameter and another function with name remove_nan_values which should accept dataframe( for removing all nan values) as parameter
• Function should return transformed dataframe with infinte and nan values removed.
• As we require a transformed dataframe, type of return variable should be pandas DataFrame.
• In case if we pass column name which does not exist, function should raise KeyError

Question 9

Write a function to find k most infomrative feature.

• Define function with name best_k_features which should accept dataframe, predictors(list of predictor variables), target(target variable as string), k(number as int for number of best features required) as parameter.
• Function should return a list of k most informative feature.
• As we require a list, type of return variable should be list.
• In case if we pass column name which does not exist, function should raise KeyError

Question 10

Write a function to Use RandomForest RFE to eliminate half of the features

• Define function with name rf_rfe which should accept dataframe, predictors(list of predictor variables), target(target variable as string) as parameter.
• Function should return a list of features which are retained.
• As we require a list, type of return variable should be list.
• In case if we pass column name which does not exist, function should raise KeyError