House-Prices-Competition

Description :

We did the House prices competition as the second term project of the 2IS Master, the aim was to predict the final price of each house according to 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa.

Workflow:

• Visualization and Exploration of the dataset
• Identification of the problems related to the dataset
• Preparation of the dataset
• Features engineering and selection
• Exploring and building different machine learning models
• Finding the best solutions to predict the final price of each house
• Explaining and analyzing the results

Team :

• Sarune SAMOSKAITE
• Kim-Phuong PHAM
• Rayhane BELAROUSSI