- Our dataset is scraped from Lianjia.
-
ECE 143 Presentation.pdf - slides for final project presentation
-
visualization_prediction.ipynb - jupyter notebook for data cleaning, visualization and price prediction
-
dataset - contains csv housing data
-
scraping - contains scraper code
-
spatial distribution - contains ArcGis spatial visualizations
bs4
,urllib.request
,pandas
,numpy
,matplotlib
,sklearn
python scraping/scraper.py
- The code for data cleaning is written in the
visualization_prediction.ipynb
file.
- Data visualization is shown in
visualization_prediction.ipynb
file.
- We used two regression models to predict the housing price. The accuracy is very high.