Data Science and Business Analytics Internship

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This repository contains the submissions to the tasks assigned by The Sparks Foundation.

Task List

Task 1. Prediction using Supervised Machine Learning

• Objective: To predict the percentage of a student based on the number of study hours.
• Method: Simple linear regression model
• Dataset: Link to dataset
• Solution: Code for task
• YouTube: Link to view explanation

Task 2. Prediction using Unsupervised Machine Learning

• Objective: Predict the optimum number of clusters for the Iris dataset and represent it visually
• Method: K-means clustering
• Dataset: Link to dataset
• Solution: Code for task

Task 3. Exploratory Data Analysis - Retail

• Objective: Perform exploratory data analysis on the dataset 'Sample Super Store'.
• Dataset: Link to dataset
• Solution: Code for task
• Dashboard: Storyboard created on Tableau

Task 6. Prediction using Decision Tree Algorithm

• Objective: Build a decision tree algorithm and visualize it graphically.
• Dataset : Link to dataset
• Solution : Code for task

Task 8. Timeline Analysis - COVID-19

• Objective: Create a storyboard that shows the spread of COVID-19.
• Dataset: Link to dataset
• Dashboard: Dashboard created on Tableau