GRIP_Tasks

This repository contains my projects and tasks completed during the Graduate Rotational Internship Program (GRIP) by The Sparks Foundation. These projects showcase my work and contributions throughout the internship.

Table of Contents

• Introduction
• Projects
• Directory Structure
• License
• Contact

Introduction

Welcome to my GRIP repository, where I have documented my progress and achievements during the internship. This README provides an overview of the projects and tasks I've completed.

Projects

Here's a brief description of the projects included in this repository:

Project 01: Predicting Student Scores

• Description: This project involves predicting student scores based on their study hours. It's a data analysis and machine learning project aimed at understanding the relationship between study time and academic performance.

Project 02: Predicting Optimum Number of Clusters

• Description: This project involves the analysis of the Iris dataset to determine the optimal number of clusters for K-Means clustering. The results are visually represented to showcase the data's natural groupings. The project demonstrates essential techniques in data exploration, clustering, and visualization, making it a valuable learning resource for data science enthusiasts.

Directory Structure

The repository has the following structure:

• Project 01: The main directory for Project 01.

  • Data: Contains datasets in .csv format used in the project.
  • Notebook: Includes Jupyter notebooks related to the project.

• Project 02: The main directory for Project 02.

  • Notebook: The Jupyter Notebook for Project 02.

You can explore each subdirectory to find specific project resources and files.

License

This project is licensed under the terms of the [License Name] License. You can find detailed licensing information in the LICENSE file.

Contact

If you have any questions or would like to get in touch with me, you can reach out via:

• Email
• LinkedIn