shawntsai / house-prices-advanced-regression-techniques

kaggle competition house price prediction

house-prices-advanced-regression-techniques

###Kaggle house price

This package provide a tutorial for data visualization, data analysis, simple feature engineering and some deep learning techniques.

environment set up

$pip install virtualenv

$virtualenv ENV

$source bin/activate

$pip install -r /src/requirements.txt

view data discription.txt for feature discription

pynb file for jupyter notebook tutorial file

generate prediction for test.csv:

$python final.py

K-folds cross validation to valuate results locally

$python blend.py

####Dependencies:

• theano
• kasagne
• nolearn
• scikit-learn
• pandas

####Data Handling

• Importing Data with Pandas
• Cleaning Data
• Exploring Data through Visualizations with Matplotlib, seaborn

####Data Analysis

• Supervised Machine learning Techniques: + lasso + elastic net + random forest + extreme gradient boosting + MLP + simple one layer encoding

house-prices-advanced-regression-techniques's Issues

Work on next house price from kaggle

Zillow Prize: Zillow’s Home Value Prediction (Zestimate)
https://www.kaggle.com/c/zillow-prize-1