In this project you will explore retail data to build Machine Learning models and predict customer profitability as well as Lifetime Value (LTV). You need to cover all the steps of a generic data science project: data exploration, visualization, model selection, training, validation, fine-tuning, testing, etc. Then, after building your benchmark model, you will explore a wide range of Machine Learning algorithms for a complete comparison between results.
At the end, you will deploy your final model to Google Cloud Platform and make it accessible to other users. Through this process, you will gain invaluable skill sets of a full stack Data Scientist.
POTENTIAL EMPLOYMENT OPPORTUNITIES