+ Adam TYCNER, Florent ZAHOUI
 + Modelling project :the objective is to predict the selling price of houses based on the available features in the dataset
 + Additional tasks: Business Intelligence : Explore the characteristics of the data and visualise interesting insights 
 + Source : https://github.com/raafat-hantoush/IH_RH_DA_FT_JAN_2022/tree/main/Class_Materials/MidTerm_Project/Data
 + Number of rows and columns : (21597, 21)
 + Number of features : 20
 + Number of targets : 1 (price)
 + High-level Planning of the project :
     - Day 1 - EDA
     - Day 2 - Plotting / Visualization
     - Day 3 - Modelling ( Transformation, encoding)
     - Day 4 - Modelling ( Split, Model Accuracy) / Presentation ( Slides / Notebook / Tableau preparation) / Mock presentation
     - Day 5 - Presentation in front of the class