8000 GitHub - isadoralucena/ds-challenge: This project aimed to create a predictive model to estimate rental prices for apartments in New York, using the provided dataset. The model was evaluated using performance metrics to ensure the accuracy and reliability of the predictions.
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This project aimed to create a predictive model to estimate rental prices for apartments in New York, using the provided dataset. The model was evaluated using performance metrics to ensure the accuracy and reliability of the predictions.

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isadoralucena/ds-challenge

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Previsão de preços de imóveis em Nova York

O objetivo deste projeto é desenvolver um modelo preditivo para estimar os preços de aluguel de apartamentos temporários em Nova York, utilizando o dataset fornecido. Também é realizada a avaliação do modelo com métricas de desempenho.

Como executar

  1. Clone este repositório:

    git clone https://github.com/isadoralucena/ds-challenge.git
  2. Instale as dependências:

    pip install -r requirements.txt
  3. Execute o notebook Jupyter:

    jupyter notebook

    Depois, abra o arquivo notebook.ipynb no Jupyter e execute as células.

Dataset

O dataset pode ser acessado aqui.

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This project aimed to create a predictive model to estimate rental prices for apartments in New York, using the provided dataset. The model was evaluated using performance metrics to ensure the accuracy and reliability of the predictions.

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