GitHub topics: lift-ratio
Prem-98/Association-rules
association rules -assignment
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vaitybharati/P32.-Unsupervised-ML---Association-Rules-Data-Mining-Titanic-
Unsupervised-ML---Association-Rules-Data-Mining-Titanic. Data Preprocessing: As the data is categorical format, we are using One Hot Encoding to convert into numerical format. Apriori Algorithm: frequent item sets & association rules. A leverage value of 0 indicates independence. Range will be [-1 1]. A high conviction value means that the consequent is highly depending on the antecedent and range [0 inf]. Lift Ratio > 1 is a good influential rule in selecting the associated transactions.
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vaitybharati/Assignment-09-Association-Rules-Data-Mining-my_movies-
Assignment-09-Association-Rules-Data-Mining-my_movies. Apriori Algorithm. Association rules with 10% Support and 70% confidence. Association rules with 5% Support and 90% confidence. Lift Ratio > 1 is a good influential rule in selecting the associated transactions. Visualization of obtained rule.
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vaitybharati/Assignment-09-Association-Rules-Data-Mining-Books-
Association-Rules-Data-Mining-Books. Apriori Algorithm, Association rules with 10% Support and 70% confidence, Association rules with 20% Support and 60% confidence, Association rules with 5% Support and 80% confidence, visualization of obtained rule.
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