📬 This is Part 1 of a 4-part series on shipping enterprise RAG.
Originally published on my Substack. Read it there and subscribe for free → to get Parts 2–4 the moment they drop.
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I'm Ed Dudeiko — a Data Scientist and AI/ML Engineer in Miami who builds intelligent systems end to end, from production RAG pipelines and SQL AI agents to the full-stack apps and cloud infrastructure that ship them. I'm most useful where machine learning meets real users and real constraints.
Latest Posts
K-Nearest Neighbors algorithm from scratch
KNN a step by step guide
K-Nearest Neighbors (KNN) is one of the simplest yet most effective machine learning algorithms. It works on the intuition that similar data points tend to have similar labels. While it can be used for both classification and regression tasks, it’s most commonly applied to classification problems.
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Building an API
Create an easy-to-use Spotify API
While working on this project, I couldn’t find the Spotify API calls I needed. At the time, I was looking for the following:
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Climate Change Overview
Visualize climate change with the help of Plotly
You can explore how climate has changed over the years using this interactive Plotly map. By hovering over any country and moving through the timeline, you can see how average temperatures have changed across the globe. The full source code is on GitHub. (The original interactive demo was hosted on...
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Feature Importance Visualization Using Heart Disease Dataset
Create Models To Predict A Heart Disease
I explored feature importance visualization using the heart disease dataset, which you can find here. My final project can be read on Medium. If you’re more interested in seeing the source code, please visit my GitHub page. (The original interactive demo was hosted on Heroku’s free tier, which has since...
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