abinashrasonowal / cs361_mlproject

CS361_mlproject

Abinash Sonowal 210101016 Anoop Singh 210101016 Kundan Meena 210101060 Ravi Lahare 210101086

Prerequisites

• Python installed on your system (preferably Python 3.x)
• Jupyter Notebook installed (you can install it via pip: pip install notebook)

Installation

1. Extract the zip file

2. Place the dataset file (Dry_Bean_Dataset.csv) in the same directory as the Jupyter Notebook.

Running the Notebook

1. Start the Jupyter Notebook server:

   jupyter notebook

2. This will open a web browser displaying the Jupyter Notebook dashboard.

   • Navigate to the directory where you cloned the repository.
   • Click on the notebook file (Dry_bean_classifier.ipynb) to open it.

3. Run the notebook cell by cell to execute the code.

   • To run a cell, click on it and press Shift + Enter.
   • Alternatively, you can use the Run button in the toolbar.

4. Follow the instructions and comments within the notebook for each section.

Note

• Make sure to run the cells sequentially as some cells may depend on the output of previous cells.
• Take note of any errors or warnings that may occur during execution and troubleshoot accordingly.