Codes for Practical experiments of Data Warehousing and Mining (Semester V - Computer Engineering - Mumbai University)
Experiment List:
4. Implementation of Classifier algorithm Naive Bayes
5. Implementation of Clustering Algorithm K Means
7. Implementation of Hierarchical Clustering Algorithm Agglomerative
8. Implementation of Data Discretization & Visualization
9. Implementation Association Mining like Apriori
10. To implement Page Rank Algorithm
- Ensure you have Python 3.x installed on your machine. You can download it from Python's official website.
- Clone the repository
git clone https://github.com/riddhigupta1110/DataWarehousingAndMining-V-MU-CSE.git
- Navigate to the project directory:
cd DataWarehousingAndMining-V-MU-CSE
You can run each Python program using any code editor or the command line:
Using Visual Studio Code:
- Open Visual Studio Code.
- Open the project folder (DataWarehousingAndMining-V-MU-CSE) in VS Code.
- Open the desired .py file.
- Run the program by pressing F5 or by clicking the "Run" button in the top-right corner of the editor.