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Association Rules Data Mining (Groceries). Converting the data frame into a list of lists, Using Transactionencoder to transform this dataset into a logical data frame, Building the data frame: rows are logical and columns are the items that have been purchased, Print Column names, We need to drop nan column from the data frame, Most popular items, Top 10 Popular items, Barplot visualization of popular items, Apriori Algorithm: Association rules with 5% Support and 70% confidence, Association rules with 1% Support and 80% confidence, Visualization of obtained rule.

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python pandas numpy apriori-algorithm association-rules data-mining-algorithms seaborn matplotlib-pyplot mlextend frequent-pattern-mining

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Assignment-09-Association-Rules-Data-Mining-Groceries-

Converting the data frame into a list of lists

Using Transactionencoder to transform this dataset into a logical data frame

Building the data frame: rows are logical and columns are the items that have been purchased

Print Column names

We need to drop nan column from the data frame

Most popular items

Top 10 Popular items

Barplot visualization of popular items

Apriori Algorithm:

  1. Association rules with 5% Support and 70% confidence
  2. Association rules with 1% Support and 80% confidence

Visualization of obtained rule

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