Using Jupyter Notebook, Data- Preprocessing, model Building, model evaluation, model training can be done, recommendation algorithms namely Popularity Based and Collaborative Based filtering are used.
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Data Cleaning and Pre-Processing
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Algorithms Implemented a) Popularity Based Recommendation b) Collaborative Based Filtering Recommendation
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Libraries Used : sklearn, seaborn, matplotlib, numpy, pandas etc..
Exploring a personalized recommendation, Improved user Experience, by enhancing customer engagement.