ChrionML® transforms Zillow’s published ZHVI market histories into quality-checked datasets, independently evaluated forecasts, and decision-ready findings—with transparent methods, limitations, and source links.
Week 3 · Final research
Back Bay leads on price. Hanover leads on growth.
Back Bay’s selected model forecasts $1,300,581 for September 2026. Hanover’s lower $521,201 forecast sits alongside 57.50% cumulative growth since January 2020 and the lower selected-model MAE.
Back Bay 02116 vs Hanover 03755 · Condo/co-op ZHVI · 80 months · 44 rolling backtests per city
Cambridge leads near term. Ithaca leads since 2020.
The same 80-month protocol produces a split result: Cambridge carries the higher forecast value and modest month-ahead momentum, while Ithaca has delivered stronger cumulative appreciation.
Cambridge 02139 vs Ithaca 14850 · Condo/co-op series · 44 rolling backtests per city
Ithaca growth since 2020+29.5%Observed cumulative change
Applied machine-learning projects
Real data. Reproducible evaluation. Operational context.
Project 01 · Forecasting
From published market history to decision-ready evidence
ChrionML® locates the appropriate Zillow ZHVI geography and housing-type series, compiles and quality-checks the monthly dataset, compares time-series candidates, runs chronological backtests, quantifies uncertainty, and publishes the findings.
Zillow ZHVI source data · ChrionML® Python workflow, modeling, evaluation and interpretation
A platform proof of concept that converts experimental workflows into governed, versioned, observable services consumable by scientists and autonomous tools.
MLOps · API contracts · Governance · Observability
Four markets complete. A reusable system is taking shape.
The objective is not simply to publish 64 forecasts. It is to build a comparable evidence base across markets—using consistent evaluation, clear local context, and a production workflow that can scale without sacrificing rigor.
4 / 64 cities published
Next phase: validate the publishing workflow across additional Northeast markets before expanding regionally.
01
Boston, MA Forecast and box score
Published
02
Providence, RI Forecast and box score
Published
03
Cambridge, MA Forecast and box score
Published
04
Ithaca, NY Forecast and box score
Published
Research partnerships
Bring a market, dataset, or decision problem.
We are building partnerships around local data access, independent model validation, sponsored city research, and applied machine-learning systems. Every engagement starts with a defined question and an evidence plan.
