The Spark Foundation Task

Data Science And Business Analytics Internship in The Sparks Foundation The Sparks Foundation

• Internship Category : Data Science and Business Analytics
• Internship Duration : 1 Month ( November-2021 )
• Internship Type : Work from Home

Task-1: Prediction using Supervised ML (Level-Beginner)

Please click on the images on the right side to view my solution.

1. Predict the prescentage of an student based on the no. of study hours.
2. This is a simple linear regression task as it involves just 2 variables
3. Data can be found on http://bit.ly/w-data
4. What will be predicted score if a students studies for 9.25 hr/day ?

Task-2: Prediction using Unsupervised ML(Level-Beginner)

Please click on the images on right side to view my solution.

1. From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
2. Use Python for perform this task.
3. Data can be found at : https://bit.ly/3kXTdox

Task-3: To Explore Business Analytics - Retail (Level- Intermediate)

Please click on the images on right side to view my solution.

1. Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’.
2. As a business manager, try to find out the weak areas where you can make more & more profit.
3. What all business problems you can derive by exploring the data?
4. Dataset: https://bit.ly/3i4rbWl

Task-4 : Exploratory Data Analysis - Terrorism (Level - Advanced)

Please click on the images on right side to view my solution.

1. Perform ‘Exploratory Data Analysis’ on dataset ‘Global Terrorism’.
2. As a security/defense analyst, try to find out the hot zone of terrorism..
3. What all security issues and insights you can derive by EDA?
4. Dataset: https://bit.ly/2TK5Xn5

Task-6 : Prediction using Decision Tree Algorithm (Level - Intermediate)

Please click on the images on right side to view my solution.

1.For the given ‘Iris’ dataset, create the Decision Tree classifier and visualize it graphically. 2.The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly. 3.Data can be found at https://bit.ly/3kXTdox

Thank You😊