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data-science-libraries

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Python libraries for data science enable efficient data manipulation, analysis, and modeling. Key libraries include NumPy for numerical computing, pandas for data handling, Matplotlib for visualization, Scikit-learn for machine learning, TensorFlow for deep learning, and BeautifulSoup/requests for web scraping. These libraries simplify complex data

  • Updated Oct 17, 2024
  • Jupyter Notebook

Projeto para explorar dados de vendas, identificar padrões e criar modelos preditivos que otimizem estratégias comerciais e melhorem o relacionamento com clientes.

  • Updated Dec 11, 2024
  • Jupyter Notebook

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