Data Mining Assignments with reports (OSU CSE 5243)
Assignments focus on following concepts:
- Implementation of proximity measures (similarity between different records in the dataset)
- k-nearest neighbour using implemented proximity measures
- Implementation and analysis of following models using Weka:
A. Decision Tree
B. A rules-based classifier
C. Naive Bayes
D. Artificial Neural Network
E. Support Vector Machine
F. Ensemble learner (such as Adaboost, RandomForest, etc) - k-means clustering