I used feature engineering to create new features to ensure my model performs well and also went further to explore trends and patterns in my dataset using data visualization libraries such as seaborn, matplotlib and plotly express. On to my model building I took care of my categorical variables(encoding them) for better model prediction and went further to evaluate my model's performace. Finally, a visualization was done to show which features contributed to the high performance of my model.