mratsim/Apartment-Interest-Prediction
Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
This project helps real estate professionals and rental agencies predict how interested potential renters will be in specific New York City apartments. It takes in structured apartment data (like price, number of rooms), location details, text descriptions, and even some image metadata, then outputs a prediction of whether an apartment will generate low, medium, or high interest from prospective tenants. It's designed for anyone managing apartment listings who wants to prioritize marketing efforts or understand rental demand.
No commits in the last 6 months.
Use this if you need to quickly assess the potential demand for new apartment listings in NYC based on various apartment attributes and historical data.
Not ideal if you're looking for a simple, out-of-the-box application with a user interface, as this project is a code-based solution requiring technical expertise to implement.
Stars
18
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Nov 04, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/mratsim/Apartment-Interest-Prediction"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
floydhub/regression-template
Build a deep learning model for predicting the price of wine given the description
aws-samples/aws-esg-evaluation-handson
Machine Learning for ESG evaluation
fpozoc/ML-engineer-interview-task
Predicting rental prices with Machine Learning and Natural Language Processing
kruts/Fake-Review-Detector
🔍 Detect fake product reviews using NLP techniques, TF-IDF, and Logistic Regression, with an...
lisstasy/ecommerce_satisfaction_prediction_deployment
This project is made around the data of 100k orders of a Brazilian e-commerce store "Olist". It...