Development Kaggle Competition
Manuel Robalinho - Set 2018
Work developed to my Master Degree.
Using Anaconda framework, Phyton and Jupyter Notebook to predict house prices.
All work here:
Start here if...
You have some experience with R or Python and machine learning basics. This is a perfect competition for data science students who have completed an online course in machine learning and are looking to expand their skill set before trying a featured competition.
Competition Description
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.
Sem comentários:
Enviar um comentário