Think You Have A Good EDA Framework? Think Again.
Last Updated on November 5, 2023 by Editorial Team
Author(s): Ryan Ueda Teo
Originally published on Towards AI.

Image by storyset on Freepik
A good data scientist knows their data inside out. To build a good model, you have to be truly connected to the data.
Starting and finishing a Machine Learning project is certainly exciting. However, bringing a Machine Learning product from start to finish is a task far more treacherous than one would imagine.
Building a comprehensive machine learning pipeline is akin to constructing a finely tuned symphony where every note, from data preprocessing to model evaluation, harmoniously contributes to the creation of predictive and intelligent systems. To do so, you must first hone the skill of understanding your… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming a sponsor.
Published via Towards AI
Towards AI Academy
We Build Enterprise-Grade AI. We'll Teach You to Master It Too.
15 engineers. 100,000+ students. Towards AI Academy teaches what actually survives production.
Start free — no commitment:
→ 6-Day Agentic AI Engineering Email Guide — one practical lesson per day
→ Agents Architecture Cheatsheet — 3 years of architecture decisions in 6 pages
Our courses:
→ AI Engineering Certification — 90+ lessons from project selection to deployed product. The most comprehensive practical LLM course out there.
→ Agent Engineering Course — Hands on with production agent architectures, memory, routing, and eval frameworks — built from real enterprise engagements.
→ AI for Work — Understand, evaluate, and apply AI for complex work tasks.
Note: Article content contains the views of the contributing authors and not Towards AI.