README.md

metadata

title: Housing Prediction App
emoji: 🏢
colorFrom: blue
colorTo: indigo
sdk: streamlit
sdk_version: 1.21.0
app_file: app.py
pinned: false

A house value is simply more than location and square footage. Like the features that make up a person, an educated party would want to know all aspects that give a house its value.

    We are going to take advantage of all of the feature variables available to use and use it to analyze and predict house prices.

    We are going to break everything into logical steps that allow us to ensure the cleanest, most realistic data for our model to make accurate predictions from.

    - Load Data and Packages
    - Analyzing the Test Variable (Sale Price)
    - Multivariable Analysis
    - Impute Missing Data and Clean Data
    - Feature Transformation/Engineering
    - Modeling and Predictions

    

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference