The-Sparks-Foundation-Data-Science-and-Business-Analytics-Tasks

The-Spark-Foundation-GRIP

Data Science and Analytics Internship Tasks

This repository consists of the tasks given during my internship at The Sparks Foundation.

About The Sparks Foundation

The Sparks Foundation mission is to inspire students, help them innovate, and let them integrate to build the next generation humankind. To inspire, motivate, and encourage students to learn, create, and help build a better society. To teach new ways of thinking, to innovate and solve the problems on their own. We help the students to integrate and help each other, learn from each other, and do well together.

Their Vision Statement : A world of enabled and connected little minds, building future. Our Mission Statement To inspire students, help them innovate and let them integrate to build the next generation humankind.

TASKS

Task 1 - Prediction using Supervised Machine Learning

In this regression task we will predict the percentage of marks that a student is expected to score based upon the number of hours they studied.
This is a simple linear regression task as it involves just two variables. Data can be found at http://bit.ly/w-data.
What will be predicted score if a student study for 9.25 hrs in a day? 

To see the implementation check this link - https://github.com/SaiSharanyaY/The-Sparks-Foundation-Data-Science-and-Business-Analytics-Tasks/tree/main/Task%201

Task 2 - Prediction Using Unsupervised Machine Learning

From the given 'Iris' dataset, predict the optimum number of clusters and represent it visually.

To see the implementation check this link - https://github.com/SaiSharanyaY/The-Sparks-Foundation-Data-Science-and-Business-Analytics-Tasks/tree/main/Task%202

Task 3 - Exploratory Data Analysis

Perform Exploratory Data Analysis on dataset SampleSuperstore. As a business manager try to find weak areas where you can work more to make profits. What all business problems you can derive by exploring the data ? 

To see the implementation click on this link - https://github.com/SaiSharanyaY/The-Sparks-Foundation-Data-Science-and-Business-Analytics-Tasks/tree/main/Task%203

Task 8 - Timeline Analysis Covid-19

  Identify interesting patterns and possible reasons helping Covid-19 spread with basic as well as advanced charts.

To see the implementation click on this link - https://github.com/SaiSharanyaY/The-Sparks-Foundation-Data-Science-and-Business-Analytics-Tasks/tree/main/Task%208

Authors

• Sai Sharanya Y - Github - Linkedin

• Thanks to The Sparks Foundation for this Wonderful Internship Experience and Inspiration to do more.