How to predict House Prices in Ames, Iowa | Kaggle Competition in Data Science & Machine Learning
Channel: Alexander Hess - Pythonista
Date: 2020-06-29

In this video, I go over the dataset provided in the "House Prices" competition on Kaggle (https://www.kaggle.com/c/house-prices-advanced-regression-techniques) and use Python (in particular, numpy, pandas, and sklearn) to train machine learning models that predict the prices of house in the city of Ames, Iowa.

The case study emphasizes the importance of data cleaning and feature generation, referred to as the "dirty work" by data scientists, in getting better results.

The shown code and data are available for free under the MIT open source license on GitHub: https://github.com/webartifex/ames-housing

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Alexander Hess, PhD Student
WHU - Otto Beisheim School of Management, Vallendar, Germany 

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