Skip to content A Practical Toolkit for Time Series Anomaly Detection, Using Python
fascinating aspects of time series is the intrinsic complexity of such an apparently simple kind of data. At the end ...
Read more Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach
grow more complex, traditional logging and monitoring fall short. What teams actually need is observability: the ability to trace agent ...
Read more When (Not) to Use Vector DB
. They solve a real problem, and in many cases, they are the right choice for RAG systems. But here’s ...
Read more The Machine Learning “Advent Calendar” Day 15: SVM in Excel
we are. This is the model that motivated me, from the very beginning, to use Excel to better understand Machine ...
Read more 6 Technical Skills That Make You a Senior Data Scientist
be honest. Writing code in 2025 is much easier than it was ten, or even five, years ago. We moved ...
Read more The Machine Learning “Advent Calendar” Day 14: Softmax Regression in Excel
With Logistic Regression, we learned how to classify into two classes. Now, what happens if there are more than two ...
Read more Stop Writing Spaghetti if-else Chains: Parsing JSON with Python’s match-case
If you work in data science, data engineering, or as as a frontend/backend developer, you deal with JSON. For professionals, ...
Read more The Machine Learning “Advent Calendar” Day 13: LASSO and Ridge Regression in Excel
One day, a data scientist told that Ridge Regression was a complicated model. Because he saw that the training formula ...
Read more The Machine Learning “Advent Calendar” Day 12: Logistic Regression in Excel
Today’s model is Logistic Regression. If you already know this model, here is a question for you: Is Logistic Regression ...
Read more EDA in Public (Part 1): Cleaning and Exploring Sales Data with Pandas
! Welcome to the start of a major data journey that I’m calling “EDA in Public.” For those who know ...
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