Analysis on various housing datasets

Exploratory Data Analisys of housing in the Gran Buenos Aires (GBA), Argentina. The data was collected from MercadoLibre Ar.

A neural network in a single Excel spreadsheet.

Exploratory Data Analysis(EDA) on Covid-19 Data, DATA CLEANING on Housing Data

A SAS analysis project on US housing demand

This a simple model to predict housing price in King County in Washingthon. Uses Scikit Learn, Numpy. Seaborn, Pandas, Scipy.

Analysis of ACS (American Community Survey) 5 years of housing data using R

This project aims to build classification and regression models for housing data using supervised machine learning techniques.

Web tool for making LA housing construction data more accessible

Exploring a hosing dataset to find insights, trend and feature correlations among categories

Data engineering project in Python to perform ETL and CRUD operations on 2M+ Yelp reviews, and 2 cities’ housing data using Pandas, SQLAlchemy, NumPy, PrimaryKeys.

Exploring and manipulating the data on various topics

To identify the variables affecting house prices, e.g. area, number of rooms, bathrooms, etc. To create a linear model that quantitatively relates house prices with variables such as number of rooms, area, number of bathrooms, etc. To know the accuracy of the model, i.e. how well these variables can predict house prices.

Neo4j Project for housing and urbanism in Paris

We take public open housing data and deliver quality reports

Statistical Learning : Analysis of Data Sets.

Analyzed COVID-19's impact on the economy by observing COVID-19 data alongside real estate and stock market data.

Housing Price Prediction using Advanced Regression (Hyperparameter tuning)