Zillow Z-estimate and Log Error prediction.

Evaluated the impact of recession on housing prices with data from Zillow research

link a ynab account to a zillow property

Gather information from zillow/zumper site and notify clients

Following my first neural network tutorial

Predict the value of single-family homes using a machine learning regression model.

Python script to work with Zillow and Census data

Data Analyst Job Search analysis using Python, Web Scraping, SQL toolset.

Analysis of publicly available Airbnb and Zillow data to identify most profitable zipcodes in NYC to invest in

A web app for Zillow GetSearchResult API

A $1.2 million dollar competition to estimate home values. Run by Zillow and Kaggle.

An Rshiny web-based app for visualizing some 2023 Zillow real estate data, and to calculate some key metrics in real estate investments.

Scrape zillow.com listings from your terminal, supports multiple output types (json, csv, html, etc.)

Repository contain script to fetch properties in zillow.com by address.

Using Polynomial Regression, I created a model that would predict the log error for the Zillow zestimates. In my analysis with a partner, we gathered data using SQL, and cleaned the data using pandas to include common single unit properties purchased from May-June 2017. We explored the distribution of tax rates by county among other key features…

An FME- and Python based workflow to import ZTRAX into a set of SQLite databases, and from there into county-level CSV files

Created and evaluated a linear regression algorithm to attempt to predict the average cost of the housing market (ZHVI from Zillow) in given metropolitan statistical areas. Compiled model using features including the federal funds rate and MSA demographics and market features such as unoccupied housing and net migration.

Our aim was to make a model of housing prices that mimic the infamous Boston Housing Data but on a macro level. We wanted to use Multiple Linear Regression in order to predict the housing prices and make an interactive dashboard that tells the top 25 cities in the US for home investors in the next 5 years.

Fansly Downloader downloads images and videos from a user on Fansly

Understanding Real Estate Market Through Zillow Economic Data: a Time-Series and Machine Learning Approach