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Overview
This course focuses on applying machine learning to retail industry challenges such as demand forecasting, customer segmentation, and dynamic pricing. Learners explore real-world data pipelines, model deployment using cloud platforms, and how to use ML to personalize customer experiences. Technologies like AWS, Google Cloud, and Python libraries such as scikit-learn and XGBoost are featured. Case studies and projects help students build practical, scalable retail AI solutions. By course end, participants will be ready to drive business value in retail with...
Syllabus
- Course Overview 2mins
- Exploring Applications of Machine Learning in Retail 41mins
- Case Study: Optimizing Product Prices Using Machine Learning 21mins
- Case Study: Optimizing Supply Planning Using Machine Learning 18mins
- Applying Machine Learning Techniques to Retail Data 37mins
Instructor
Janani Ravi
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