My Trail - Canyons Portugal

My Trail - Canyons Portugal

Developed on 2017 by Manuel Robalinho and other group colleagues from Master Degree on Software Developer

Look at the link: https://canyonsportugal.000webhostapp.com/src/menu.php

Predicting house prices on Kaggle

Predicting house prices on Kaggle

Work developed by: Manuel Robalinho at 21-7-2018

https://www.kaggle.com/c/house-prices-advanced-regression-techniques

Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.

The Ames Housing dataset was compiled by Dean De Cock for use in data science education. It's an incredible alternative for data scientists looking for a modernized and expanded version of the often cited Boston Housing dataset.

Query Documentation
http://alanpryorjr.com/visualizations/seaborn/heatmap/heatmap/
https://seaborn.pydata.org/tutorial/categorical.html 
http://pbpython.com/pandas-pivot-table-explained.html


See work here:
https://drive.google.com/open?id=1b4Uc2NQbNukIkfp64GyqHE6IjmxHUtOd

Jupyter notebook page here:
https://drive.google.com/open?id=1Yj5TL_mjTPlku2VQxY83cCY7vfadbtsH