Data Science Collective

From -m to -i, these change how you build and run code

A brief analysis using density estimation to compare the two-verdict and three-verdict systems.

Think twice before buying that beach house!

When and How to best use LLMs as text classifiers

Hierarchical Forecasting with Oracle Machine Learning

A couple of my posts have recently gone down really well on LinkedIn.

Practical and advanced git config settings for reproducible and efficient data science projects.

Your AI Agent is a Brilliant Idiot.

The 0$ AI Engineering Roadmap is a list of free courses for 2025. All the courses give certificates. You don’t need to pay anything. Just…

How raw text becomes numbers, why tokenization matters, and what an LLM actually learns when it starts from scratch.

Using the llm-compressor Python library for Activation-Aware Weight Quantization (AWQ)

A hands-on guide of the popular framework LangChain and the visual Drag-&Drop-Builder Langflow with Ollama & FAISS

A step-by-step guide to virtual environments, venv, and uv — so your Python projects just work.

We’ve all heard the advice: “Imagine what your future self would do.”

I used to think that creativity was the last frontier for machines.

A Three-Stage RL Engine: Demand Modeling, Fast Simulation, and Tree Search for 30-Day E-Commerce Sales