A Changsha housing prices list program by WeiXin small APP

I built a linear model predicting housing prices for a certain urban area of the U.S. using forward selection and cross validation methods.

Analysis on various housing datasets

Regression model to predict housing prices

Linear Regression model to predict housing prices in Kings County Washington. (Flatiron Project 2)

Project-4- The Boston Housing Dataset “LetsUpgrade-FS Data Science-[Suwarna Baraskar]”.

This repository hosts a statistical analysis to investigate why houses are so expensive in Toronto.

This is an ML model deployment based on Boston Housing Prices. The code was deployed on Heroku Platform.

This project uses deep learning techniques to predict median housing prices in the Boston area using the Boston Housing dataset. The model employs TensorFlow, Keras, and Numpy, with a mean squared error loss function and Adam optimization algorithm. The results show high accuracy.

Lecture Notes on Urban Economics Insights, covering topics such as housing, transportation, and urban issues.（都市経済学講義ノート）

Housing Price Prediction using linear regression

Predictive Modeling Part 1: Home Prices in Philadelphia

Analysis of House Prices in the Us [Notes and Exercises from PythonProgramming.net's tutorials] with added, more advanced code improvements.

Regression analysis on housing prices around a local area in Oakland.

MLFND boston housing prices prediction project.

Which city is better for buying a Home - San Francisco, New York or Austin ?

A project performed at Università degli Studi di Milano for "Statistical Methods for Machine Learning" course.

Automated API deployment for Boston house price prediction on Cluster Kubernetes.

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

NYC Housing Price Prediction with Supervised Learning