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TSF-Data Science And Business Analytics Internship Projects

This repository contains the projects I've worked on as a part of The Sparks Foundation Internship from 1st December,2020 to 31st December,2020.

The Sparks Foundation is a not-for-profit organization registered in India and Singapore and operating globally. The Graduate Rotational Internship Program, also known as GRIP is an unique offer for students and recent graduates to experience and join TSF. This program aims to enable students to be professionally capable, and entrepreneurial. Apart from skill specific tasks, they encourage interns to build a credible professional profile.

Prediction using Supervised ML (Level - Beginner)

Problem statement :

Predict the percentage of an student based on the no. of study hours.
This is a simple linear regression task as it involves just 2 variables.
You can use R, Python, SAS Enterprise Miner or any other tool.
What will be predicted score if a student studies for 9.25 hrs/ day?
Here is the dataset : Dataset.csv

Solution: Task 1- Prediction using Supervised ML
Demo: Prediction using Supervised ML

Prediction using Unsupervised ML (Level - Beginner)

Problem Statement:

From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
Use R or Python or perform this task
Here is the dataset : Dataset.csv

Solution: Task 1- Prediction using Unsupervised ML
Demo: iris flower dataset.

Exploratory Data Analysis - Retail (Level - Beginner)

Problem Statement:

Perform ‘Exploratory Data Analysis’ on dataset ‘Retail(Dataset).csv’
As a business manager, try to find out the weak areas where you can work to make more profit.
What all business problems you can derive by exploring the data?
You can choose any of the tool of your choice
(Python/R/Tableau/PowerBI/Excel/SAP/SAS)
Here is the dataset : Dataset.csv

Solution: Exploratory Data Analysis-Retail
Demo: Exploratory Data Analysis-Retail

Prediction using Decision Tree Algorithm (Level - Intermediate)

Problem Statement:

Create the Decision Tree classifier and visualize it graphically.
The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.
Use R or Python or perform this task
Here is the dataset : Iris.csv

Solution: Task 6 - Prediction using Decision Tree
Demo: "iris dataset" visualizing graphically

To explore Business Analytics (Level-Intermediate)

Problem Statement:

Perform ‘explore Business Analytics’ on dataset ‘superstore.csv’
What all business problems you can derive by exploring the data?
You can choose any of the tool of your choice
(Python/R/Tableau/PowerBI/Excel/SAP/SAS)
Here is the dataset : Dataset.csv

Solution: To explore Business Analytics
Demo: To explore Business Analytics

Exploratory Data Analysis - Terrorism (Level - Intermediate)

Problem Statement:

Perform ‘Exploratory Data Analysis’ on dataset ‘Global Terrorism’
As a security/defense analyst, try to find out the hot zone of terrorism.
What all security issues and insights you can derive by EDA?
You can choose any of the tool of your choice (Python/R/Tableau/PowerBI/Excel/SAP/SAS)
Here is the dataset : Dataset.csv

Solution: Exploratory Data Analysis - Terrorism
Demo: Exploratory Data Analysis - Terrorism

Exploratory Data Analysis - Sports (Level - Advanced)

Problem Statement:

Perform ‘Exploratory Data Analysis’ on dataset ‘Indian Premier League’
As a sports analysts, find out the most successful teams, players and factors
-contributing win or loss of a team.
Suggest teams or players a company should endorse for its products.
You can choose any of the tool of your choice (Python/R/Tableau/PowerBI/Excel/SAP/SAS)
Here is the dataset : Dataset.csv