List of References

1. Analytics Vidhya. (2020, October 10). Feature Selection Techniques in Machine Learning. Analytics Vidhya. https://www.analyticsvidhya.com/blog/2020/10/feature-selection-techniques-in-machine-learning/

2. Analytics Vidhya. (2019, May 27). Hierarchical Clustering | Hierarchical Clustering Python. Analytics Vidhya. https://www.analyticsvidhya.com/blog/2019/05/beginners-guide-hierarchical-clustering/

3. Analytics Vidhya. (2021, January 27). Naive Bayes | Gaussian Naive Bayes with Hyperpameter Tuning in Python. Analytics Vidhya. https://www.analyticsvidhya.com/blog/2021/01/gaussian-naive-bayes-with-hyperpameter-tuning/

4. Avinash Navlani. (2018). Python Decision Tree Classification with Scikit-Learn DecisionTreeClassifier. DataCamp Community. https://www.datacamp.com/community/tutorials/decision-tree-classification-python

5. gauravduttakiit. (2020, September 25). Hyperparameter Tuning in Decision Trees. Kaggle.com; Kaggle. https://www.kaggle.com/gauravduttakiit/hyperparameter-tuning-in-decision-trees

6. Huneycutt, J. (2018, May 29). An Introduction to Clustering Algorithms in Python - Towards Data Science. Medium; Towards Data Science. https://towardsdatascience.com/an-introduction-to-clustering-algorithms-in-python-123438574097

7. ‌ vlad. (2016, October 3). How to tune GaussianNB? Stack Overflow. https://stackoverflow.com/questions/39828535/how-to-tune-gaussiannb