Here we will go through a supermarket transaction data to understand better our customer segments and their purchasing behaviors. The data and task is from a data analytics virtual work experience program I completed with Forage and Quantium, a leading data science and AI Firm with a track record of innovation in data science.
This is a post about a virtual work experience program I completed with Forage in their collaboration with ANZ, an Australian multinational banking and financial services company.
This is a solution I proposed for a data based problem while working in a successful five star luxury hotel cocktail bar.
This time we will go through this project with Python using scikit-learn and see how the results differ from eachother from previous iteration.
We’re tasked with predicting how much money a fictional company in the mail-order catalog business can expect to earn from sending out a catalog to new customers.
In this project, we need to decide if a new bank customer is approved for loan or not using a predictive model.
In this project, we will analyze a fictional business problem in the mail-order catalog business. We’re tasked with predicting how much money your company can expect to earn from sending out a catalog to new customers.
