1. [n. d.]. Decision Trees and Random Forests. https://towardsdatascience.com/decision-trees-and-random-forests-df0c3123f991 [Online; accessed 7-November-2023].
2. [n. d.]. Deep Neural Network (DNN). https://deci.ai/deep-learning-glossary/deep-neural-network-dnn/ [Online; accessed 7-November-2023].
3. [n. d.]. Exploring the Importance and Techniques of Hyperparameter Tuning in Machine Learning. https://www.linkedin.com/pulse/exploring-importance-techniques-hyperparameter-tuning-jagarlapoodi [Online; accessed 10-November-2023].
4. [n. d.]. Introduction to Feature Scaling: Normalizing and Standardization. https://www.enjoyalgorithms.com/blog/need-of-feature-scaling-in-machine-learning [Online; accessed 7-November-2023].
5. [n. d.]. Kernel Functions-Introduction to SVM Kernel and Examples. https://data-flair.training/blogs/svm-kernel-functions/ [Online; accessed 5-November-2023].