--- title: "#eda articles | Hashnode" description: "Explore 95 articles tagged #eda on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/eda" --- Tag # #eda 95 posts · 8 followers [Maggie‌ Wang](https://hashnode.com/@maggiepcb) · [Sep 9](https://hashnode.com/posts/the-next-frontier-of-eda-tools-autodesk-s-neural-cad-and-the-future-of-pcb-design/6aa0ccf0f925461ba397fc2f) ### [The Next Frontier of EDA Tools: Autodesk's "Neural CAD" and the Future of PCB Design](https://anypcba.hashnode.dev/the-next-frontier-of-eda-tools-autodesk-s-neural-cad-and-the-future-of-pcb-design?utm_source=hashnode&utm_medium=feed) Autodesk's Neural CAD represents the first fundamental change in CAD interaction in 40 years. Learn how AI-powered EDA tools are reshaping PCB design, from intent-based modeling to agentic AI. 5 min read · [anypcba.hashnode.dev](https://anypcba.hashnode.dev/the-next-frontier-of-eda-tools-autodesk-s-neural-cad-and-the-future-of-pcb-design?utm_source=hashnode&utm_medium=feed) [Gaurav Kumar](https://hashnode.com/@gauravbytes) · [Aug 31](https://hashnode.com/posts/why-modern-microservices-need-event-driven-architecture/6a953c5ad87132814ffca172) ### [Why Modern Microservices Need Event-Driven Architecture](https://gauravbytes.dev/why-modern-microservices-need-event-driven-architecture?utm_source=hashnode&utm_medium=feed) In traditional backend designs, components communicate primarily using synchronous request-response mechanisms (such as REST APIs or gRPC). Service A explicitly calls Service B and blocks execution wh 4 min read · [gauravbytes.dev](https://gauravbytes.dev/why-modern-microservices-need-event-driven-architecture?utm_source=hashnode&utm_medium=feed) [Muhammad Ariel Shakaramiro](https://hashnode.com/@arielshakaramiro) · [Aug 31](https://hashnode.com/posts/predicting-baldness-probability-from-messy-data-to-a-working-machine-learning-model/6a95282d96cdb67df1a242a9) ### [Predicting Baldness Probability: From Messy Data to a Working Machine Learning Model](https://shaka-ai.hashnode.dev/predicting-baldness-probability-from-messy-data-to-a-working-machine-learning-model?utm_source=hashnode&utm_medium=feed) Data cleaning, EDA, and ML model comparison to predict baldness probability — from a messy dataset to a working Random Forest model. 7 min read · [shaka-ai.hashnode.dev](https://shaka-ai.hashnode.dev/predicting-baldness-probability-from-messy-data-to-a-working-machine-learning-model?utm_source=hashnode&utm_medium=feed) [N Chandra Prakash Reddy](https://hashnode.com/@ChandraPrakash1996) · [Jun 21](https://hashnode.com/posts/when-systems-listen-event-driven-architecture/6a37a49b24aa0cf1bbd7b042) ### [When Systems Listen: Event Driven Architecture](https://devopstour.hashnode.dev/when-systems-listen-event-driven-architecture?utm_source=hashnode&utm_medium=feed) Key insights from AWS Student Community Day Tirupati, November 1st, 2025 9 min read · [devopstour.hashnode.dev](https://devopstour.hashnode.dev/when-systems-listen-event-driven-architecture?utm_source=hashnode&utm_medium=feed) [Zeba Mushtaq](https://hashnode.com/@zebaintech) · [Jun 18](https://hashnode.com/posts/5-things-i-wish-i-knew-before-doing-eda-on-a-33-feature-dataset/6a338e2566a80a28e16418d9) ### [5 Things I Wish I Knew Before Doing EDA on a 33-Feature Dataset](https://zebabuilds.hashnode.dev/5-things-i-wish-i-knew-before-doing-eda-on-a-33-feature-dataset?utm_source=hashnode&utm_medium=feed) Lessons from analyzing 10,000 travel records — mid-project, messy, and honest 3 min read · [zebabuilds.hashnode.dev](https://zebabuilds.hashnode.dev/5-things-i-wish-i-knew-before-doing-eda-on-a-33-feature-dataset?utm_source=hashnode&utm_medium=feed) [Ayomide Zaccheaus](https://hashnode.com/@Papizee) · [May 8](https://hashnode.com/posts/from-zero-to-full-stack-ml-engineer-how-i-built-a-complete-student-performance-prediction-system-in-one-week/69fdf45df239332df4d004d2) ### [From Zero to Full-Stack ML Engineer: How I Built a Complete Student Performance Prediction System in One Week](https://papizee.hashnode.dev/from-zero-to-full-stack-ml-engineer-how-i-built-a-complete-student-performance-prediction-system-in-one-week?utm_source=hashnode&utm_medium=feed) A honest, beginner-friendly walkthrough of building a production-ready ML application with SQL Server, Python, FastAPI and GitHub — errors, confusion and all. A Little Background I'll be honest with 14 min read · [papizee.hashnode.dev](https://papizee.hashnode.dev/from-zero-to-full-stack-ml-engineer-how-i-built-a-complete-student-performance-prediction-system-in-one-week?utm_source=hashnode&utm_medium=feed) [Mamun Mahmud](https://hashnode.com/@mamun111999) · [Apr 17](https://hashnode.com/posts/exploratory-data-analysis-the-heart-of-data-for-clear-insights/69e25dfefd22b8ad624f5940) ### [Exploratory Data Analysis: The Heart of Data for Clear Insights](https://datainsightswithmamun.hashnode.dev/exploratory-data-analysis-the-heart-of-data-for-clear-insights?utm_source=hashnode&utm_medium=feed) A practical journey of understanding data through Exploratory Data Analysis 5 min read · [datainsightswithmamun.hashnode.dev](https://datainsightswithmamun.hashnode.dev/exploratory-data-analysis-the-heart-of-data-for-clear-insights?utm_source=hashnode&utm_medium=feed) [WIOWIZ](https://hashnode.com/@wiowiz) · [Apr 14](https://hashnode.com/posts/rvp/69de31e2345b86c2e03a169d) ### [RVP - Reusable Verification Platform](https://rvp.hashnode.dev/rvp?utm_source=hashnode&utm_medium=feed) RVP generates the environment and simulates it on FSiMX, our proprietary functional simulator, eliminating the need for any third-party dependencies t 2 min read · [rvp.hashnode.dev](https://rvp.hashnode.dev/rvp?utm_source=hashnode&utm_medium=feed) [yadavlakshyageet](https://hashnode.com/@-lakshya) · [Apr 8](https://hashnode.com/posts/day-11-eda-completed/69d5e0c35da14bc70ed24b3d) ### [Day 11 - EDA Completed](https://lakshyajourney.hashnode.dev/day-11-eda-completed?utm_source=hashnode&utm_medium=feed) It Was Not the Graph That Was Confusing Today's small discovery was this. Sometimes a graph looks confusing not because it is complex but because the brain is looking at it the wrong way. Two visualiz 3 min read · [lakshyajourney.hashnode.dev](https://lakshyajourney.hashnode.dev/day-11-eda-completed?utm_source=hashnode&utm_medium=feed) [Entangelk](https://hashnode.com/@entangelk) · [Apr 6](https://hashnode.com/posts/data-pipeline-recovery-ai-eda/69d369acdbf5bf28637553b0) ### [How I Recovered a Broken AI-Delegated Data Pipeline in Two Days](https://entangelk.hashnode.dev/data-pipeline-recovery-ai-eda?utm_source=hashnode&utm_medium=feed) 5,450 unclassified records and the limits of blind AI delegation 6 min read · [entangelk.hashnode.dev](https://entangelk.hashnode.dev/data-pipeline-recovery-ai-eda?utm_source=hashnode&utm_medium=feed)