This repository contains data warehousing and mining experiments performed in Python. The list of experiments is as follows:
- Experiment 3: Detailed study of a Business Intelligence tool (e.g., XLMiner) and implementation of the Naive Bayes classifier.
- Experiment 4: Implementation of the Decision Tree classifier.
- Experiment 5: Implementation of the Agglomerative Hierarchical Clustering Algorithm.
- Experiment 6: Implementation of Clustering algorithms (K-means/K-medoids).
- Experiment 7: Implementation of the FP-Tree Algorithm.
- Experiment 8: Implementation of Apriori Algorithm.
- Experiment 10: Implementation of the Page Rank / HITS algorithm.