###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