Description: In the context of Mercadolibre's Marketplace an algorithm is needed to predict if an item listed in the marketplace is new or used. Your tasks involve the data analysis, designing, processing and modeling of a machine learning solution to predict if an item is new or used and then evaluate the model over held-out test data. To assist in that task a dataset is provided in `MLA_100k_checked_v3.jsonlines` and a function `build_dataset` to read that dataset in `new_or_used.py`. For the evaluation, you will use the accuracy metric in order to get a result of 0.86 as minimum. Additionally, you will have to choose an appropriate secondary metric and also elaborate an argument on why that metric was chosen. Deliverables The following items should be addressed in your solution keeping in mind collaborative development such as code reproducibility and legibility. ● The scripts or runnable notebooks should include the necessary code needed to define and evaluate a model. ● A document with an explanation on the criteria applied to choose the features, the proposed secondary metric and the performance achieved on that metrics. Optionally, you can deliver an EDA analysis with other format like .ipynbCategoría: Programación y TecnologíaSubcategoría: Programación Web¿Cuál es el alcance del proyecto?: Crear un nuevo sitio personalizado¿Es un proyecto o una posición?: Un proyectoActualmente tengo: Tengo las especificacionesDisponibilidad requerida: Según se necesiteIntegraciones de API: Otros (Otras APIs)Roles necesarios: Programador, OtroOtros roles necesarios: machine Learning
Keyword: Machine Learning
Price: $50.0
Looking for CIOs, CTOs, or CDOs from organizations with 200+ FTEs to participate in a short 15-minute video survey to better understand the perspective on what's working, what isn't working, and where you see the most promising opportunities, with regards to enterprise ...
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