DataWarehousingandMining-V-MU-CSE

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

Prerequisites

1. Ensure you have Python 3.x installed on your machine. You can download it from Python's official website.

Installation

1. Clone the repository

git clone https://github.com/riddhigupta1110/DataWarehousingAndMining-V-MU-CSE.git

2. Navigate to the project directory:

cd DataWarehousingAndMining-V-MU-CSE

Usage

You can run each Python program using any code editor or the command line:

Using Visual Studio Code:

1. Open Visual Studio Code.
2. Open the project folder (DataWarehousingAndMining-V-MU-CSE) in VS Code.
3. Open the desired .py file.
4. Run the program by pressing F5 or by clicking the "Run" button in the top-right corner of the editor.