Code Fashionably: Retail Machine Learning for Business

Learn machine learning by building real projects with retail data. This course focuses on understanding ML concepts, building models, and calculating business impact. We don't cover deployment or production systems. Instead, you'll master the skills that come first: knowing which models to build, how to evaluate them, and how to prove they're worth building.This course is designed for business analysts, product managers, and career changers who already have a basic grasp of Python. To ensure you are ready for the projects, we start with "Getting Runway Ready" (a specialized onboarding section that includes a 10-part Python Refresher series). These bite-sized videos bridge the gap between general Python knowledge and the specific data manipulation skills required for high-level retail analytics.You'll work with real transaction and product data from Google BigQuery's public "TheLook" ecommerce dataset. You will learn how to access this global data warehouse directly. This is a professional skill that allows you to find and query data in any industry.I chose retail and fashion data for three reasons: the problems are universal, the data is visual, and the business impact is easy to calculate. Once you understand how ML solves retail problems, you can adapt these techniques to any domain, including healthcare or finance.You'll build three complete machine learning projects:Product Classification: Automatically categorize thousands of products using classification algorithms.Demand Forecasting: Use the Prophet library to predict sales trends and prevent stockouts.Customer Segmentation: Use K-means clustering and RFM analysis to personalize marketing.Each project walks you through the complete process: understanding the business problem, preparing data, building the model, and calculating the dollar value of