This project utilizes Python visualizations packages, such as Plotly Express, HVPlot and PyPlot/Matplotlib to create an interactive dashboard exploring the San Francisco real estate housing market. Uses MapBox API.

Choice-Based Conjoint Analysis, Multinomial Logit Model, Multinomial Logit Model with random coefficients

We are required to build a regression model using regularisation in order to predict the actual value of the prospective properties and decide whether to invest in them or not. The company wants to know: 1. Which variables are significant in predicting the price of a house, and 2. How well those variables describe the price of a house.

Full-stack pipeline to detect U.S. housing market bubbles and forecast price trends. Merges 6+ macroeconomic datasets in Snowflake to compute risk scores and price predictions using walk-forward ML models. Deployed with Streamlit for interactive insights.

An Analytics project utilizing housing market data sourced from the Dutch website Funda.

Detect U.S. housing market bubbles using macroeconomic signals. Forecast HPI, score speculative risk, and visualize insights using a fully modular, cloud-native GCP pipeline.

Austrian housing market information deployed as Dash web app.

real estate listings scraper

Zillow property data extraction tool

Predict house prices for the next five years across all English local authorities.

Swiss real estate data extractor

Notebook containing Melbourne Housing Market analysis with Random Forest and Linear Regression.

immobilienscout24 real estate listings scraper

This repo contains all materials necessary for the Data Science Tools 1 final project/presentation. This project is based on median household income vs typical housing price based on region.

Danish real estate data extractor

🏙️ 2buyornot2buy: The Parker Luxury Condo Buy Signal Machine Learning and In-Depth Financial Analysis. Turning a rainy day from angst to analytical joy. This is what happens when you approach real-world life decisions analytically, you know, just for fun.

Machine Learning Project Predicting house prices using pandas, python scikit-learn

LeFigaro real estate listings extractor

In this notebook, you'll find some R code analysing a fictionnal housing market from Kaggle