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victorkohler/item_item_collaborative _filtering_1.py

Last active August 1, 2017 09:23
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item_item_collaborative _filtering_1.py
import pandas as pd
import numpy as np
from sklearn.metrics.pairwise import cosine_similarity
from scipy import sparse
#------------------
# LOAD THE DATASET
#------------------
data = pd.read_csv('data/lastfm.csv')
# Create a new dataframe without the user ids.
data_items = data.drop('user', 1)
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