ML-Real_Estate_Valuation

Real Estate Valuation prediction by using Kernel Ridge Regression model.
A project to accomplish Assignment2 of Machine Learning course in Yonsei University

Used Data Set: https://archive.ics.uci.edu/ml/datasets/Real+estate+valuation+data+set

Installation (Environment)

To Read / Write Excel File

pip install pandas

To Use Machine Learning Model in Scikit-Learn
https://scikit-learn.org/stable/install.html#installation-instructions

pip install -U scikit-learn

For Easier Visualization of Graphs

pip install seaborn

To Visualize map

pip install folium

If you want to get your own temperature data
https://openweathermap.org/

pip install pyowm

Process

1. Data Analysis including normality and correlations.
2. Feature Engineering process

Normalize hyperparameter
Add Temperature according to latitude and longitude
K-means Clustering
Omit outliers

3. Merge Data set after feature engineering to make best sub set
4. Conclusion

Reference

BaseLine

Application of Geographical Data