SparksFoundation-Intern

Task-1

Improve your LinkedIn Profile

Task-2

Logistic Regression model is used from the dataset containing the scores and hours of study and we need to make the model which helps us to predict marks scored for particular hour of study

Task-3

From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.

Task-4

For the given ‘Iris’ dataset, 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.

Task-5

Perform ‘Exploratory Data Analysis’ on the provided dataset ‘SampleSuperstore’ You are the business owner of the retail firm and want to see how your company is performing. You are interested in finding out the weak areas where you can work to make more profit. What all business problems you can derive by looking into the data? You can choose any of the tool of your choice (Python/R/Tableau/PowerBI/Excel)