Niloofar Shirvani
@shirvanishbData enthusiast | Machine Learning | Python | Data Visualization | Data Analysis | Time Series | Passionate about leveraging data for insights
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I-Shaped Developer
I-shapedSpecialist — deep expertise in Python
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2
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+18%
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kooshiar
@kooshiar
Kostas Georgiou
@drkostas
Simon
@SimonMolinsky
alexhu
@alexanderhucheerful
Tanguy Barthelemy
@TanguyBarthelemy
Top Repositories
Forecast the conversion rates for different products based on features such as price, discount, brand popularity. Use the Seasonal AutoRegressive Integrated Moving Average with eXogenous regressors (SARIMAX) model for time series forecasting. Additionally, use SHapley Additive exPlanations (SHAP) to explain the feature importance.
This Python script performs a scenario reduction process based on the initial demand data from a CSV file.
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