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EDA in Public (Part 2): Product Deep Dive & Time-Series Evaluation in Pandas

! Welcome back to the “EDA in Public” series! That is Part 2 of the series; when you haven’t seen Part 1 yet, read it here. Here’s a recap of what we conquered. In Part...

EDA in Public (Part 1): Cleansing and Exploring Sales Data with Pandas

! Welcome to the beginning of a serious data journey that I’m calling “EDA in Public.” For individuals who know me, I consider one of the best method to learn anything is to tackle...

Data Visualization Explained (Part 5): Visualizing Time-Series Data in Python (Matplotlib, Plotly, and Altair)

It’s time to begin constructing your personal data visualizations. In this text, I'll walk through the strategy of visualizing time-series data in Python intimately. If you might have not read the previous articles in...

Javascript Fatigue: HTMX Is All You Have to Construct ChatGPT — Part 2

1, we showed how we could leverage HTMX so as to add interactivity to our HTML elements. In other words, Javascript without Javascript. As an example that, we began constructing a straightforward chat that...

Tips on how to Evaluate Retrieval Quality in RAG Pipelines (Part 3): DCG@k and NDCG@k

: 👉 👉 of my post series on retrieval evaluation measures for RAG pipelines, we took an in depth have a look at the binary retrieval evaluation metrics. More specifically, in Part 1, we went...

Data Visualization Explained (Part 4): A Review of Python Essentials

Up so far in my data visualization series, I even have covered the foundational elements of visualization design. These principles are essential to grasp before actually designing and constructing visualizations, as they make sure...

Feature Detection, Part 1: Image Derivatives, Gradients, and Sobel Operator

Computer vision is an enormous area for analyzing images and videos. While many individuals are inclined to think mostly about machine learning models once they hear computer vision, in point of fact, there are...

Data Visualization Explained (Part 3): The Role of Color

” .” do you see in the image below? Most individuals see 4: white, green, and two different shades of pinkish-red. In point of fact, those two shades are the exact same; there are only...

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