References

Charbuty, Bahzad, and Adnan Abdulazeez. 2021. “Classification Based on Decision Tree Algorithm for Machine Learning.” Journal of Applied Science and Technology Trends 2 (01): 20–28.
Chen, Tianqi, and Carlos Guestrin. 2016. “Xgboost: A Scalable Tree Boosting System.” In Proceedings of the 22nd Acm Sigkdd International Conference on Knowledge Discovery and Data Mining, 785–94.
Itauma, I. 2024. “Factors Predicting Mathematics and Science Motivation Among Minority Female High School Students.” Proceedings of the 2024 AERA Annual Meeting. https://doi.org/10.3102/2104307.
Itauma, Itauma. 2019. “Pre-College Factors That Predict Intentions of Minority Females to Enroll in College STEM Programs.” PhD thesis, Keiser University.
Itauma, Itauma, Melih S Aslan, Flavio Villanustre, and Xue-wen Chen. 2015. “Unsupervised Learning and Image Classification in High Performance Computing Cluster.” In 2015 IEEE 14th International Conference on Machine Learning and Applications (ICMLA), 576–81. IEEE.
Jiang, Tammy, Jaimie L Gradus, and Anthony J Rosellini. 2020. “Supervised Machine Learning: A Brief Primer.” Behavior Therapy 51 (5): 675–87.
Kumar, Vivek, Denis Kalitin, and Prayag Tiwari. 2017. “Unsupervised Learning Dimensionality Reduction Algorithm PCA for Face Recognition.” In 2017 International Conference on Computing, Communication and Automation (ICCCA), 32–37. IEEE.
Liu, Yanli, Yourong Wang, and Jian Zhang. 2012. “New Machine Learning Algorithm: Random Forest.” In Information Computing and Applications: Third International Conference, ICICA 2012, Chengde, China, September 14-16, 2012. Proceedings 3, 246–52. Springer.
Naidu, Gireen, Tranos Zuva, and Elias Mmbongeni Sibanda. 2023. “A Review of Evaluation Metrics in Machine Learning Algorithms.” In Computer Science on-Line Conference, 15–25. Springer.
Nielsen, Didrik. 2016. “Tree Boosting with Xgboost-Why Does Xgboost Win" Every" Machine Learning Competition?” Master’s thesis, NTNU.
Sutton, Richard S. 2018. “Reinforcement Learning: An Introduction.” A Bradford Book.
Verma, Rajat, Vishal Nagar, and Satyasundara Mahapatra. 2021. “Introduction to Supervised Learning.” Data Analytics in Bioinformatics: A Machine Learning Perspective, 1–34.
Xie, Ting, and Taiping Zhang. 2020. “The Fast Clustering Algorithm for the Big Data Based on k-Means.” International Journal of Wavelets, Multiresolution and Information Processing 18 (06): 2050053.
Zhang, Zhongheng. 2016. “Introduction to Machine Learning: K-Nearest Neighbors.” Annals of Translational Medicine 4 (11).