Navin Albert
2 SlideShares 2 Abonné
Mots-clés
machine learning data analytics ai supply chain retal/cpg demand forecasting financial data pandas udf pandas time series data customer churn customer lifetime value delta lake apache spark databricks azure
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Présentations

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Using ML and Azure to improve Customer Lifetime Value

il y a 4 ans • 705 Vues

How Starbucks Forecasts Demand at Scale with Facebook Prophet and Databricks

il y a 4 ans • 1956 Vues
Mots-clés
machine learning data analytics ai supply chain retal/cpg demand forecasting financial data pandas udf pandas time series data customer churn customer lifetime value delta lake apache spark databricks azure
Tout plus