Welcome to my Data Mining repository! This repository is dedicated to various assignments that explore different data mining techniques and algorithms as I progress in my studies.
- Practical1: Contains the first assignment focused on clustering techniques.
- Practical2: Contains the second assignment exploring classification methods.
This repository showcases the implementation and evaluation of various data mining algorithms, including but not limited to:
- K-means clustering
- Hierarchical agglomerative clustering
- DBSCAN clustering
- Decision tree classification
- Ensemble methods
To run the notebooks, you will need the following Python libraries:
- Pandas
- NumPy
- Scikit-learn
- Matplotlib
- Seaborn
You can install these libraries using pip:
pip install pandas numpy scikit-learn matplotlib seaborn