GitHub - SoniaMawandia/Collaborative-Filtering: The collaborative filtering is used for Recommendation system when we have likes and ratings available for various users for various users. It relieas on the fact that if 2 users have liked or rated similar items in past, it is highly likely that they will have similar preferences. So items from likes of one user can be recomended to another user irrespective of the item properties. This code uses pearson correlation coefficient to find the distances between various users/items.

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Collaborative filter BASIC.ipynb		Collaborative filter BASIC.ipynb
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The collaborative filtering is used for Recommendation system when we have likes and ratings available for various users for various users. It relieas on the fact that if 2 users have liked or rated similar items in past, it is highly likely that they will have similar preferences. So items from likes of one user can be recomended to another use…