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Make a flowchart regarding this sample of code. def recommend(title): id=np.where(book_pivot.index==title)[0][0] distances, suggestions=model.kneighbors (book_pivot.iloc[id, :].values.reshape(1,-1), n_neighbors=6) for i in range(0, len(distances. flatten())): if i ==

image text in transcribedMake a flowchart regarding this sample of code.

def recommend(title): id=np.where(book_pivot.index==title)[0][0] distances, suggestions=model.kneighbors (book_pivot.iloc[id, :].values.reshape(1,-1), n_neighbors=6) for i in range(0, len(distances. flatten())): if i == 0: print('Recommendations are :') else: print('{0}: {1},with distanceof{2}:'.format(i, book_pivot.index[suggestions.flatten()[i]], distances.flatten()[i]))

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