- Loading and preprocessing the data
- Feature Selection
- Applying Clustering algorithm
- Analysing the result
- Visualizing the result
- Importing the Necessary Modules
- Cleaning and preprocessing the data
- Train-test split of preprocessed data
- Initializing the model
- Evaluating the Model using evaluation metrics such as accuracy, precision and F1 Score.