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prs98 / Backorders_Supply_Chain_Analysis

Understanding the supply chain process data and implementing different algorithms, building a machine learning model that can predict whether a given order gets cancelled or goes to back order.
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jupyter-notebook machine-learning matplotlib numpy pandas seaborn supply-chain-analytics

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Backorders_Supply_Chain_Analysis (Competition Dataset)

Analyzed the supply chain process-data and developed ML models using Python that can predict if a given order goes to back order with 89% precision and 46% recall in Random Forest model.