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      <title>formulaML</title>
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      <pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate>
      <guid>https://dev-site.ocortez.com/projects/formulaml/</guid>
      <description>A formula-based Excel add-in that brings Machine Learning, and data analytics to spreadsheets with 70+ ML functions for classification, regression, clustering, and preprocessing.</description>
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      <title>Data Privacy and User Consent in the Age of Open Protocols</title>
      <link>https://dev-site.ocortez.com/blog/2024-11-29-bluesky-data-privacy/</link>
      <pubDate>Fri, 29 Nov 2024 17:54:00 +0000</pubDate>
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      <title>Anaconda Code First Impressions: Running Python in Excel</title>
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      <pubDate>Mon, 25 Nov 2024 00:00:00 +0000</pubDate>
      <guid>https://dev-site.ocortez.com/blog/2024-11-25-anaconda-code-first-impressions/</guid>
      <description>First look at Anaconda Code, an Excel add-in that brings Python functionality directly into Excel using PyScript and Pyodide. Learn how to run Python code locally in Excel without an internet connection.</description>
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      <title>The Volve Dataset: A Comprehensive Resource for Oil &amp; Gas Data Science</title>
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      <pubDate>Mon, 15 Apr 2024 18:21:00 +0000</pubDate>
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      <description></description>
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      <title>The Importance of Collaboration Between Data Scientists and Domain Experts</title>
      <link>https://dev-site.ocortez.com/blog/2024-03-31-data-science-expert-collaboration/</link>
      <pubDate>Sun, 31 Mar 2024 17:00:00 +0000</pubDate>
      <guid>https://dev-site.ocortez.com/blog/2024-03-31-data-science-expert-collaboration/</guid>
      <description></description>
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      <title>Ensuring Reproducibility in Statistical Analysis with Seeds</title>
      <link>https://dev-site.ocortez.com/blog/2024-02-28-reproducible-stats-seeds/</link>
      <pubDate>Wed, 28 Feb 2024 18:13:00 +0000</pubDate>
      <guid>https://dev-site.ocortez.com/blog/2024-02-28-reproducible-stats-seeds/</guid>
      <description></description>
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      <title>Understanding the Uniform Distribution: The Pillar of Maximum Ignorance</title>
      <link>https://dev-site.ocortez.com/blog/2024-02-22-uniform-distribution-quiz/</link>
      <pubDate>Thu, 22 Feb 2024 17:55:00 +0000</pubDate>
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      <description></description>
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      <title>Understanding Floating Point Arithmetic Pitfalls in Python</title>
      <link>https://dev-site.ocortez.com/blog/2024-01-26-floating-point-logic/</link>
      <pubDate>Fri, 26 Jan 2024 18:17:00 +0000</pubDate>
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      <description></description>
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      <title>High-Dimensional Analytics: Overcoming the Curse of Dimensionality</title>
      <link>https://dev-site.ocortez.com/blog/2024-01-23-high-dimensional-analytics/</link>
      <pubDate>Tue, 23 Jan 2024 18:00:00 +0000</pubDate>
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      <description></description>
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      <title>The Three Pillars of Analytics: Descriptive, Predictive, and Prescriptive</title>
      <link>https://dev-site.ocortez.com/blog/2024-01-04-analytics-three-pillars/</link>
      <pubDate>Thu, 04 Jan 2024 18:41:00 +0000</pubDate>
      <guid>https://dev-site.ocortez.com/blog/2024-01-04-analytics-three-pillars/</guid>
      <description></description>
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      <title>Python Libraries with Built-in Datasets for Quick Experimentation</title>
      <link>https://dev-site.ocortez.com/blog/2023-12-31-python-built-in-datasets/</link>
      <pubDate>Sun, 31 Dec 2023 19:17:00 +0000</pubDate>
      <guid>https://dev-site.ocortez.com/blog/2023-12-31-python-built-in-datasets/</guid>
      <description></description>
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      <title>Reflections on Completing my Master&#39;s in Analytics at Georgia Tech</title>
      <link>https://dev-site.ocortez.com/blog/2023-05-12-masters-analytics-reflections/</link>
      <pubDate>Fri, 12 May 2023 22:15:00 +0000</pubDate>
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      <description></description>
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      <title>Building an Oil &amp; Gas Production Forecasting App with Python, SARIMAX, and Dash</title>
      <link>https://dev-site.ocortez.com/blog/2023-02-21-production-forecasting-app/</link>
      <pubDate>Tue, 21 Feb 2023 00:00:00 +0000</pubDate>
      <guid>https://dev-site.ocortez.com/blog/2023-02-21-production-forecasting-app/</guid>
      <description>A hands-on group project experience in the Data and Visual Analytics course at Georgia Tech, where we built a forecasting application for oil &amp;amp; gas production using real-world data, SARIMAX models, and modern web technologies.</description>
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