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Processing Large Datasets with Dask and Scikit-learn
This article uncovers how to harness Dask for scalable data processing, even under limited hardware constraints.This article uncovers how to harness Dask for scalable data processing, even under limited hardware constraints.
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From Dataset to DataFrame to Deployed: Your First Project with Pandas & Scikit-learn
In this article, I will take you through a gentle, beginner-friendly machine learning project in which we will build together a regression model that predicts employee income based on socio-economic attributes.
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10 Polars One-Liners for Speeding Up Data Workflows
Check out these 10 Polars one-liners intended to speed up tasks you normally perform with Pandas.
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Airtable + GPT: Prototyping a Lightweight RAG System with No-Code Tools
How to build an orchestration workflow to prototype a RAG system that uses Airtable text databases as the knowledge base for retrieval, and OpenAI's GPT models for response generation.
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What is Artificial Intelligence in Simple Words?
What AI is, what its capabilities are, its limits, and its key subdomains: all in a 3-minute read and in simple words everyone understands.
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What is Data Science in Simple Words?
This introductory article discussed what data science is (and isn't), its relationship with math, statistic, and computer science, and why its high importance and impact nowadays... all in simple terms.
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How to Build a Lightweight Data Pipeline with Airtable and Python
This article shows how to build a simple, ETL-like pipeline using the Airtable Python API, sticking to Airtable free tier.
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10 Agentic AI Key Concepts Explained
Explore 10 agentic AI terms and concepts that are key to understanding the latest AI paradigm everyone wants to talk about — but not everyone clearly understands.
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The Importance of Visualization in Data Storytelling
This article introduces and discusses four key reasons why data visualization is essential in data storytelling: simplifying complex information, discovering hidden patterns, fostering engagement and impact, and supporting informed decisions.
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When Do I Need to Use an LLM?
This article aims to bring the conversation about LLMs back down to earth, exploring not only the wide array of use cases where LLMs can add real value, but also the limitations they face.
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