- Autoencoders
- Anomaly Detection
- Marketing
- Target Audience
- Marketing Analytics
- Exploratory Data Analysis
- Dimensionality Reduction
- Customer Analysis
- Model Evaluation
- Data Mining
- Statistical Machine Learning
- Applied Machine Learning
Unsupervised Learning and Its Applications in Marketing
Completed by Sam Robin Singh E
December 18, 2023
21 hours (approximately)
Sam Robin Singh E's account is verified. Coursera certifies their successful completion of Unsupervised Learning and Its Applications in Marketing
What you will learn
Apply Python as an effective tool for implementing various algorithms.
Describe unsupervised learning and list its various algorithms.
List the various applications and promising areas for the application of unsupervised learning.
Skills you will gain
