This repository contains my solutions to the tasks given by the Graduate Rotational Internship Program (GRIP) at the The Sparks Foundation.

• Internship Category : Data Science and Business Analytics
• Internship Period : One month (January 2021)
• Internship Mode : Work from Home

1. Dataset Used : Hours vs Scores Dataset
2. Description of the task : To predict the percentage of the student based on the number of hours of study and to predict the score if the student studies for 9.25 hours a day.
3. Tool Used : Jupyter Notebook

1. Dataset Used : Sample Superstore Dataset
2. Description of the task : To find the weak areas in business where more profit can be made and to resolve other business problems that have been derived through the analysis
3. BI Tool Used : Tableau Public
4. Link to view the visuals : Tableau Public Visuals

1. Dataset Used : Iris Dataset
2. Description of the task : To create a Decision Tree Classifier,visualize it graphically and predict the correct class accordingly.
3. Tool Used : Jupyter Notebook