EDA using Python

Exploratory Data Analyis was performed on Sample Superstore dataset and areas where the company needed improvement were identified.

Supervised Machine Learning

Linear Regression model was used to predict the percentage of marks that students are expected to score based upon their preparation time.

Supervised Machine Learning

Decision Tree Classifier model was used to accurately predict the class of 'Iris' flower species upon ingestion of new data.