Whispers from the digital wind, hang tight..
Learn to use the {dplyr} package in R which helps you to solve the most common data manipulation challenges Continue reading on Towards Data Science »
A data scientist’s guide to outsmarting biases Continue reading on Towards Data Science »
A technical analysis of recent Dublin City Marathon races Continue reading on Towards Data Science »
A deep dive into tailoring pre-trained LLMs for custom use cases using a RAG approach, featuring LangChain and Hugging Face integration Continue reading on Towards Data Science »
Training and Deploying a Custom Detectron2 Model for Object Detection Using PDF Documents (Part 1: Training) Making your machine learn how to see PDFs like a human I have been trying for the better half of a year to solve a
My personal take on the fourth week of the #30DayMapChallange, a daily social challenge aimed at designing thematic maps every day in… Continue reading on Towards Data Science »
Charting the Final Frontier: Completing the #30DayMapChallenge journey Image by author As the #30DayMapChallenge draws to a close, I am struck by the power of community and collaboration. Each day brought new themes, each theme brought new insights, and along the
Make your code more efficient and professional with these language-agnostic methods Continue reading on Towards Data Science »
Why L0.5, L3, and L4 Regularizations Are Uncommon Photo by Kelvin Han on Unsplash Welcome back to the third installment of ‘Courage to Learn ML: Demystifying L1 & L2 Regularization’ Previously, we delved into the purpose of regularization and decoded L1 and
We can have some weird effects when using Stock Measures in Power BI. Let’s look at how such a situation can emerge and how to solve it. Continue reading on Towards Data Science »
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