This project consists in predicting the price of a house with previously provided data. This model also analyzes the characteristics of the houses and the factors that lead to higher prices - $650K and above.
The provided dataset gathers information on 22.000 properties.
- monday: EDA, plotting
- tuesday : data transformation, training and testing sets
- wednesday : x-y split, categorical transformation, linear regression, etc
- thursday: validating results, presentation prep
- friday: final presentation