This repository contains the submissions to the tasks assigned by The Sparks Foundation.
- 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
- 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
- Objective: Perform exploratory data analysis on the dataset 'Sample Super Store'.
- Dataset: Link to dataset
- Solution: Code for task
- Dashboard: Storyboard created on Tableau
- Objective: Build a decision tree algorithm and visualize it graphically.
- Dataset : Link to dataset
- Solution : Code for task
- Objective: Create a storyboard that shows the spread of COVID-19.
- Dataset: Link to dataset
- Dashboard: Dashboard created on Tableau