CS4661 - Intro. to Datascience My solutions to course assignments covering the following topics: Supervised Learning: K-Nearest Neighbor Classifier Decision Tree Classifier Linear Regression Logistic Regression Classifier Polynomial Regression Classifier Random Forest Classifer Unsupervised Learning: K-Means Clustering Algorithm Clustering Dimensionality Reduction