🏠Sydney House Prices Linear Regression🏠

We created and predicted a linear model from Sydney house prices, so we found the 'mse' and 'rmse' results.

Dataset Information

200,000 Sydney property sales from 2000-2019 scarped from realestate.com.au

Requirements

There are some general library requirements for the Project. The general requirements are as follows.

• Numpy
• Pandas
• Scikit-learn
• Statsmodels

For Visualization

• Matplotlib
• Seaborn
• Missingno

Content

Sydney property prices from 2000 to 2019. The following steps were followed in this project:

• Import Module and Data
• Data Analysis
• Creating a Table Describing The Detailed Properties Of The Data
• Data Visualization
• Data Classification
• Get Dummies
• Outlier Data
• Missing Data Filling
• Building a Model

Members

Project Team
Furkan KARAKUZ
Oğuzhan AKKURT
Muhammed Nafiz CANITEZ