Discover Kushal997-das/THE-SPARKS-FOUNDATION Open Source project

Problem statement :

Solution: Prediction using Supervised ML

Demo: Prediction using Supervised ML

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: Prediction using UnSupervised ML

Demo: Prediction using Unsupervised ML

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

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 : Dataset.csv

Solution: Prediction using DecisionTreeAlgorithm

Demo: Prediction using Decision Tree Algorithm

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

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

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

Solution: Exploratory Data Analysis - Sports

Demo: Exploratory Data Analysis - Sports

Problem Statement:

Objective: Create a hybrid model for stock price/performance prediction using numerical analysis of historical stock prices, and sentimental analysis of news headlines
Stock to analyze and predict - SENSEX (S&P BSE SENSEX)
Use either R or Python, or both for separate analysis and then combine the findings to create a hybrid model
You are free to select a different stock to analyze and news dataset as well while not changing the objective of the task.
Here is the dataset :
- Download historical stock prices from finance.yahoo.com
- Download textual (news) data from https://bit.ly/36fFPI6

Solution: Stock Market Prediction using Numerical and Textual Analysis

Demo: Stock Market Prediction using Numerical and Textual Analysis

Problem Statement:

Create a storyboard showing spread of Covid-19 cases in your country or any region (Asia, Europe, BRICS etc) using Tableau, Power BI or SAP
Identify interesting patterns and possible reasons helping Covid-19 spread with basic as well as advanced charts
Here is the dataset :
- Dataset: Daily updated .csv file on https://bit.ly/30d2gdi