Recommendation System using Python| Association Metrics| Association Rules

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This Recommendation System using Python| Association Metrics| Association Rules video would help you guys understand how to generate association rules using python, and how to identify strong association rules using the association metrics. This is part 2 of my session, and for those who would like to refer my part 1 video can use the following link,

The agenda of this session is as follows:
1. A brief recap on part 1 concepts
2. The role of python in data science
3. Introduction to Spyder IDE in Anaconda
4. Data extraction and preparation using python
5. Association rule generation using python – Apriori algorithm
6. Advantages of association rules
7. Challenges in association rules

Please comment your questions below, and I will try my best to clarify it.

#AprioriAlgorithm #ProductRecommendationSystem #AssociationRules #RecommendationSystem #ConsumerDataAnalytics #ConsumerAnalytics #Python #analytics #RetailAnalytics #Algorithms #RealWorldExamples #AdvantagesOfAssociationRules #SpyderIDE #AssociationRuleMining #AdvantagesOfAssociaitonRules #Challenges #FoodRecommendationSystem #ProductRecommenderSystem #ConsumerAnalytics #AssociationMetrics #Pros #PythonInDataScience #DataPreparation #StrongAssociationRule #AssociationRuleLearning #RecommendationSystemUsingAssociationRules

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ur doing grt sir, keep doing this and pls add the link of source code too.

funnynikhilawesome

how can I generate a fake data of a groceries store let's say spinneys or Carrefour?

jessicasinanian

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