! If you’ve been following along, we’ve come a long way. In Part 1, we did the “dirty work” of cleaning and prepping. In Part 2, we zoomed out to a high-altitude view of NovaShop’s world — spotting the big storms (high-revenue countries) and the seasonal patterns (the massive Q4 rush). But here’s the thing: a business …
EDA in Public (Part 3): RFM Analysis for Customer Segmentation in Pandas Read More »
Image by Author Contents# Introduction# 1. Pandera# 2. Vaex# 3. Pyjanitor# 4. D-Tale# 5. Sweetviz# 6. cuDF# 7. ITables# 8. GeoPandas# 9. tsfresh# 10. ydata-profiling (pandas-profiling)# Wrapping Up # Introduction As a data scientist, you’re probably already familiar with libraries like NumPy, pandas, scikit-learn, and Matplotlib. But the Python ecosystem is vast, and there are plenty of lesser-known libraries that can help you make your data science …
10 Lesser-Known Python Libraries Every Data Scientist Should Be Using in 2026 Read More »
Large language models (LLMs) are increasingly becoming a primary source for information delivery across diverse use cases, so it’s important that their responses are factually accurate. In order to continue improving their performance on this industry-wide challenge, we have to better understand the types of use cases where models struggle to provide an accurate response …
FACTS Benchmark Suite: a new way to systematically evaluate LLMs factuality Read More »
with AI is an effective way of increasing coding speed. AI agents can handle a lot of the simple and repetitive tasks, while you can act as an orchestrator for your agents. A problem I often encounter, however, is that I have more context in my head than an AI agent could ever have. This …
Image by Author Contents# Introduction# 1. Static Website Hosting with Nginx and Docker# 2. Multi-Container Docker Applications with Docker Compose# 3. One Database Shared by Multiple Containers# 4. Automated Continuous Integration with Jenkins in Docker# 5. Logging and Monitoring Docker# Wrapping Up # Introduction Before jumping into the projects, let’s clear up what Docker is and why people care about it. Docker …
AI presents an opportunity to build a more prosperous and secure world. The UK has already laid a strong foundation to seize this moment and is uniquely positioned to translate AI innovation into public benefit. That’s why we are excited to deepen our collaboration with the UK government to accelerate this work and offer a …
I was working on a script the other day, and it was driving me nuts. It worked, sure, but it was just… slow. Really slow. I had that feeling that this could be so much faster if I could figure out where the hold-up was. My first thought was to start tweaking things. I could …
Think Your Python Code Is Slow? Stop Guessing and Start Measuring Read More »
Image by Author Contents# Introduction# 1. olmOCR 2 7B 1025# 2. PP OCR v5 Server Det# 3. OCRFlux 3B# 4. MiniCPM-V 4.5# 5. InternVL 2.5 4B# 6. Granite Vision 3.3 2b# 7. Trocr Large Printed# Summary # Introduction OCR (Optical Character Recognition) models are gaining new recognition every day. I am seeing new open-source models pop up on Hugging Face that have crushed previous …
Google 2025 recap: Research breakthroughs of the year
were first introduced for images, and for images they are often easy to understand. A filter slides over pixels and detects edges, shapes, or textures. You can read this article I wrote earlier to understand how CNNs work for images with Excel. For text, the idea is the same. Instead of pixels, we slide filters …
The Machine Learning “Advent Calendar” Day 23: CNN in Excel Read More »
