dapopov-st / housing-prices

Predict the housing price correctly within 91% of the actual price. Engineered model features specific to application needs and statistical significance. Normalized and regularized data and optimized hyperparameters to choose the best regression model for the case use. This Repository has a five-part walk-through that can be accessed starting here: https://jesservillines.medium.com/a-thorough-dive-into-the-ames-iowa-housing-dataset-part-1-of-5-7205093a5a53.

• 👋 Hi, I’m Dmitriy Popov-Velasco and I live in the US permanently
• 👀 My current technical interests include NLP (mostly LLMs) and Python
• 🌱 I’m currently working on Python and NLP projects
• 📫 You can reach me through