📚 Learn About Real Estate House Prices
Explore predictive modeling techniques for real estate valuation:
- Datasets: Access real-world housing data for analysis and modeling
- Jupyter Notebooks: Hands-on tutorials with complete code implementations
- YouTube Videos: Watch detailed walkthroughs and explanations of the models
Use these resources to learn regression models, feature engineering, and valuation strategies for real estate pricing.
AI is changing architecture this year
Design workflows are accelerating because AI can now read building blueprints from PDFs and convert them into structured 3D models. That means faster iteration, fewer manual redraws, and quicker handoffs between architects, engineers, and builders.
Design software is adopting AI features that automate floor plan cleanup, detect structural elements, and generate parametric options from existing plans. This reduces bottlenecks at the earliest stage of a project, where small changes used to take days.
Over the next few years, AI-assisted architecture should lower design costs and shrink revision cycles, which helps make homes more affordable. When design and permitting are less expensive and less error-prone, builders can deliver more units with fewer delays.