Create a Machine Learning algorithm to match electronic product components to life-cycle-inventory (LCI) database entries. This task comprises using a set of alpha-numeric features and map them onto one of a set of possible labels. It is a multi-class classification problem that benefits from natural-language processing techniques to get solved with high quality.
Please refer to the attached project description for further information.
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