Purpose for this notebook: Learn from the professional user in kaggle
This notebook is aimed to demostrate how Kaggle's expert work on the EDA about the house price data set.
I just follow how the editor(DOMINIK GAWLIK) analyse the data step by step and
add some code with my idea to improve it.
Data set used: House Pirce
Reference: https://www.kaggle.com/dgawlik/house-prices-eda/notebook
- house_price_prediction.ipynb
- Finish Regression part & Learn about different linear regression model (Ridge/Lasso/Elastic-Net)
- Next target: Find a new data set and apply these skill on it