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.

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.

Predict Boston House Prices Using Python & Linear Regression

Austrian housing market information deployed as Dash web app.

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

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

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