- Programming Language: Python
- Libraries: Pandas, Scikit-learn, Matplotlib, Numpy
- Filling missing values
- Perform necessary cleaning and EDA.
- One hot Encoding
- Performing necessary transformation.
- Scaling the dataset.
- Adding more minority samples.
- Selecting most accurate model.
- Logistic Regression Model
- f1-score : 0.60
- SVM
- f1-score : 0.65
- Random Forest
- f1-score : 0.86
- Decision_Tree
- f1-score : 0.77