Unfolding the universe of possibilities..

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Beneath the Surface: A Closer Look at 4 Airflow Internals

Four Apache Airflow internals you might have missed Continue reading on Towards Data Science »

Mastering Git: The 3 Essential Workflows for Efficient Version Controlling

Git Workflows for an Elegant Development Journey Continue reading on Towards Data Science »

Real-Time Anomaly Detection For Quality Control

Insights after two years in the industry Continue reading on Towards Data Science »

Detecting Concept Shift: Impact on Machine Learning Performance

MLOps When should I retrain my model? Have you heard of lifelong learning? You might be familiar with the story: with today’s rapid technology advancements, what we learned at school will not set us up for professional success for our whole

Visualizing What Batch Normalization Is and Its Advantages

Optimizing your neural network training with batch normalization Continue reading on Towards Data Science »

A Weekend AI Project: Using Speech Recognition, PTT, and a Large Action Model on a Raspberry Pi

Making “à la Rabbit prototype” with Python, Push-to-Talk, Local, and Cloud LLMs Continue reading on Towards Data Science »

Faster DataFrame Serialization

Read and write dataframes op to ten times faster than Parquet with StaticFrame NPZ Photo by Author The Apache Parquet format provides an efficient binary representation of columnar table data, as seen with widespread use in Apache Hadoop and Spark, AWS

Introducing the Quad-Tile Chart & Squaremap: Squarify Your Data

Learn about Quad-Tile Charts and create your own with Python Continue reading on Towards Data Science »

Demand forecast — a value-driven approach with 5 key insights

Demand Forecast — A Value-Driven Approach with 5 Insights The end goal of forecast is not accuracy, but tangible value creation. Let’s explore 5 insights to maximise the value of demand forecasts Photo by Daoudi Aissa on Unsplash Intro Hey there! January is the