It consists tasks assigned in ANZ data Virtual internship program.
Performed basic Exploratory Data analysis, Gathered some interesting overall insights about the data. what is the average transaction amount? How many transactions do customers make each month, on average?. Segmented the dataset by transaction date and time. Visualised transaction volume and spending over the course of an average day or week. Considered the effect of any outliers that may distort your analysis.
Built a simple regression model to predict the annual salary for each customer. I have used simple linear regression and Decision Tree regressor to train the model.