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python-language

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A Comprehensive analysis of the San Francisco salaries dataset, focusing on employee compensation trends and job titles over multiple years. The analysis includes data exploration, cleaning, and visualization to uncover insights such as the highest and lowest paid positions, average salary trends over the years, and job title frequency.

  • Updated Aug 12, 2023
  • Jupyter Notebook

A machine learning project to predict weekly sales for 45 Walmart stores using historical data and economic factors from year 2010 to 2012. The goal is to boost sales by 10% and improve customer engagement.

  • Updated Nov 12, 2023
  • Jupyter Notebook

Both built-in and user-defined data structures in Python can be either mutable or immutable. This article explains why Python makes this distinction for built-in data structures and reviews some use cases within which you may want to define an immutable data structure of your own.

  • Updated Dec 26, 2020
  • Jupyter Notebook

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