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Assignment-10-Recommendation-System-Data-Mining-books. Recommend a best book based on the ratings: Sort by User IDs, number of unique users in the dataset, number of unique books in the dataset, converting long data into wide data using pivot table, replacing the index values by unique user Ids, Impute those NaNs with 0 values, Calculating Cosine Similarity between Users on array data, Store the results in a dataframe format, Set the index and column names to user ids, Nullifying diagonal values, Most Similar Users, extract the books which userId 162107 & 276726 have watched, extract the books which userId 276729 & 276726 have watched.

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python pandas numpy sklearn scipy pairwise-distances cosine-similarity correlation recommendation-system data-mining

assignment-10-recommendation-system-data-mining-books-'s Introduction

Assignment-10-Recommendation-System-Data-Mining-books

Recommend a best book based on the ratings:

Sort by User IDs

number of unique users in the dataset

number of unique books in the dataset

converting long data into wide data using pivot table

Replacing the index values by unique user Ids

Impute those NaNs with 0 values

Calculating Cosine Similarity between Users on array data

Store the results in a dataframe format

Set the index and column names to user ids

Nullifying diagonal values

Most Similar Users

extract the books which userId 162107 & 276726 have watched

extract the books which userId 276729 & 276726 have watched

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