NETW-1013-Machine-Learning
Submission of all practical assignments for the machine learning course. Including, unsupervised clustering methods such as K-means, hierarchical, DBscan, and GMM are implemented. Moreover, supervised approaches like as decision trees and KNN are also used. In addition, PCA and anomaly detection are deployed. In addition, employing linear and logistic regression. Apart from that, understanding neural networks and their tuning and reinforcement ideas.