Building Recommendation System
In this project, I created a recommendation system using a machine learning algorithm. The system applied adapts to the market basket analysis with its correlation to make recommendations. Shopping basket basically contains a list of items bought by a person. A collection of such lists can be very informative for a shop since the data would indicate information like which products are in demand, what products are seasonal, etc. Businesses can identify which products need to be focused on and make recommendation based on the analysis. Shopping basket recommendation is the case where we can use AI to study the shopping list of a person and suggest to that person some things that he is likely to buy. KNN algorithm will be used in this discussion to make recommendation system.