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project4's Introduction

Heroku Deployment Link:

Project 4: Prediciting Residential Property Investment

Team Members

John Tanasijevich
Omar Bernal
Victor M Diaz
Victoria Barbosa Munoz

Problem We are Analyzing

We are trying to create an accurate forecast model on which residential properties are a good investment right now.

ML Libraries Used

Scikit-learn

ML Technologies Used

One Hot Encoder
Label Encoder
pd.get_dummies
TensorFlow Keras Model
Logistic Regression

Other Libraries Used

Python Pandas
Python Matplotlib

Deployment Method

Heroku - have an interactive website that takes into account various factors and then outputs whether or not that property is a good investment right now

Datasets Used (subject to change)

Home Value Dataset - Smoothed, seasonally adjusted measure of the typical home value and market changes across a given region for Single-Family Residences; Monthly from 2000 to now
Target variable - Good investment Right Now (Yes or No)
Train Data - Housing info from 2000-2021
Test Data - Predict Housing Price in 2022
Zillow Home Value Forecast (All homes, mid-tier cut of ZHVI smoothed and seasonally adjusted)
Cook County Price Index Data: 2021_q2_price_index_data.xlsx

Dataset Sources

project4's People

Contributors

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