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| products = train_df[["StockCode", "Description"]] | |
| # remove duplicates | |
| products.drop_duplicates(inplace=True, subset='StockCode', keep="last") | |
| # create product-ID and product-description dictionary | |
| products_dict = products.groupby('StockCode')['Description'].apply(list).to_dict() |
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