Articles

  • 2 months ago | flipboard.com | Josep Ferrer

    6 days agoBy Kirstie McDermott Demand for software engineers remains high, and this is a trend that is set to continue, according to data from the Bureau of Labor Statistics (BLS). It predicts that employment for software developers, quality assurance analysts and testers will grow by 25% up to 2031, which …

  • Jan 15, 2025 | statology.org | Josep Ferrer

    Time series analysis is a powerful technique for analyzing trends, seasonality, and patterns over time. This is why today I want to explore how to handle and analyze time series data using Pandas, a versatile Python library. We’ll cover key operations like resampling, plotting, and identifying annual cycles. Time Series and PandasA time series is an ordered sequence of values of a variable at equally spaced intervals.

  • Dec 23, 2024 | bitebi.com | Josep Ferrer

    Understanding what’s happening behind large language models (LLMs) is essential in today’s machine learning landscape.Read MoreMachineLearningMastery.com

  • Dec 4, 2024 | bitebi.com | Josep Ferrer

    The AI field is rapidly evolving, becoming one of the most dynamic areas within machine learning.Read MoreMachineLearningMastery.com

  • Nov 14, 2024 | statology.org | Josep Ferrer

    Working with data often means dealing with multiple CSV files, and the best way to work with them is to merge them into a single dataset. Doing this manually can be tedious, but the Python library pandas offers a straightforward and powerful solution to automate the process. Today I want to cover an easy way to import multiple CSV files using pandas and merge them into a single DataFrame.

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