Performed extensive Exploratory Data Analysis on Sample Superstore dataset finding out areas to improve the total profit along with finding answers to some business problems during the process.
Built a Decision Tree Classifier for the Iris dataset and visualized the decision tree.
Performed Linear Regression to predict the scores of the student based on the number of hours studied.
Selection of the optimum number of clusters using Elbow Method and Silhouette Score methods. Implemented K means Algorithm using the optimum number of clusters identified on the Iris Dataset.