Sparks Tasks

The Sparks Foundation Tasks

Internship Category : Data Science and Business Analytics

Internship Duration : 1 month

Internship Type : Work From Home

The content displayed is about the different kinds of tasks which i completed while working as an intern for The Sparks Foundation One can browse through the below tasks,each of the cell starts of with the name of the task,then we have an ordered list which tells what actually the task is to be performed,followed by the solution provided by me,everything is mentioned in each of the cell,how one user can access the solution of the task.Also i have linked the solutions of each of the tasks in the Navigation Bar as well,where one can access the solution of the task by navigation through different options.

Task-1 : Prediction using Supervised ML

Predict the percentage of marks of an student based on the number of study hours.
Data can be found here
We can use either R, Python, SAS Enterprise Miner or any other tool.
My Solutions to this task is given below,by clicking on the Chrome icon one will be redirected to the output of the task and by clicking the github icon,one gets redirected to the github repo,where the complete code is available,and by clicking on the youtube icon,one gets redirected to explaination of the code

Task-2 : Prediction using Unsupervised ML

From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
Data can be found here
Students can use either R or Python or to perform this task
My Solution to this task is given below,by clicking on the Chrome icon one will be redirected to the output of the task and by clicking the github icon,one gets redirected to the github repo,where the complete code is available,and by clicking on the youtube icon,one gets redirected to explaination of the code

Task-3 : EDA ~ Retail

Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’
Data can be found here
As a business manager, try to find out the weak areas where you can work to make more profit.
My Solution to this task is given below,by clicking on the Chrome icon one will be redirected to the output of the task and by clicking the github icon,one gets redirected to the github repo,where the complete code is available,and by clicking on the youtube icon,one gets redirected to explaination of the code

Task-4 : EDA ~ Terrorism

Perform ‘Exploratory Data Analysis’ on dataset ‘Global Terrorism’
Data can be found here
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?
My Solution to this task is given below,by clicking on the Chrome icon one will be redirected to the output of the task and by clicking the github icon,one gets redirected to the github repo,where the complete code is available,and by clicking on the youtube icon,one gets redirected to explaination of the code

Task-5 : EDA ~ Sports

Perform ‘Exploratory Data Analysis’ on dataset ‘Indian Premier League’
Data can be found here
As a Sports analyst, find out the most successful teams, players and Suggest teams or players a company should endorse for its products.
My Solution to this task is given below,by clicking on the Chrome icon one will be redirected to the output of the task and by clicking the github icon,one gets redirected to the github repo,where the complete code is available,and by clicking on the youtube icon,one gets redirected to explaination of the code
Part 2 of the EDA ~Sports is available here

Task-6 : Prediction using Decision Tree Algorithm

Create the Decision Tree classifier and visualize it graphically.
Data can be found here
The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.
My Solution to this task is given below,by clicking on the Chrome icon one will be redirected to the output of the task and by clicking the github icon,one gets redirected to the github repo,where the complete code is available,and by clicking on the youtube icon,one gets redirected to explaination of the code