README.md

Sparks Foundation

Data Science and Business Analytics Intern #GRIPJAN21

TASK 1: Prediction using Supervised ML

i.e. Predict the percentage of a student based on the no. of study hours.

TASK 2: Prediction using Unsupervised ML

i.e. From the given iris dataset, predict the optimum number of clusters and represent it visually.

TASK 3: Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’

i.e. try to find out the weak areas where you can work to make more profit.

TASK 4: Perform ‘Exploratory Data Analysis’ on dataset ‘Global Terrorism’

i.e. As a security/defense analyst, try to find out the hot zone of terrorism and what all security issues and insights you can derive by EDA?

TASK 5: Perform ‘Exploratory Data Analysis’ on dataset ‘Indian Premier League’

i.e. As a sports analysts, find out the most successful teams, players and factors contributing to win or loss of a team.

TASK 6: Prediction using Decision Tree Algorithm

i.e. Create the Decision Tree classifier and visualize it graphically.