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A real estate modeling repository dedicated to uncovering market insights through exploratory data analysis, providing a comprehensive understanding of current trends via descriptive statistics, and offering tailored predictive models for investment opportunities to aid small investors.

Python 28.42% Jupyter Notebook 71.58%

re_modeling's Introduction

Real Estate Modeling

Predictive modeling using both traditional and cutting-edge machine learning techniques for the real estate industry that covers the following topics:

  • Exploratory Data Analysis (EDA): Dive deep into datasets to uncover patterns, trends, and anomalies.
  • Descriptive Statistics: Understand the current state of real estate markets through detailed statistical analysis.
  • Predictive Modeling: Address key real estate problems with a focus on investment opportunities, particularly tailored to small investors. These models leverage both traditional statistics and modern machine learning algorithms to predict market trends and investment outcomes.

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