Supervised Learning and Its Applications in Marketing
Completed by Imane Akzaz
March 30, 2026
21 hours (approximately)
Imane Akzaz's account is verified. Coursera certifies their successful completion of Supervised Learning and Its Applications in Marketing
What you will learn
Apply Python as an effective tool for supervised learning techniques.
Develop and train supervised machine learning models for classification and regression tasks.
Interpret and analyze various applications of supervised learning in marketing.
Describe the deployment of machine learning models and the challenges encountered in the deployment.
Skills you will gain
- Category: Model Training
- Category: Predictive Modeling
- Category: Data-Driven Marketing
- Category: Model Evaluation
- Category: Marketing
- Category: Supervised Learning
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Customer Retention
- Category: Predictive Analytics
- Category: Customer Insights
- Category: Python Programming
