Supervised Text Classification for Marketing Analytics
Completed by Aung Soe
July 10, 2025
17 hours (approximately)
Aung Soe's account is verified. Coursera certifies their successful completion of Supervised Text Classification for Marketing Analytics
What you will learn
Distinguish supervised classification from unsupervised text-learning tasks, create a labeling codebook, and reconcile multiple coders into gold-standard labels.
Transform raw text into a model-ready predictive feature matrix and configure and train a regularized elastic-net text classifier.
Evaluate generalization with held-out validation data and appropriate classification metrics.
Interpret learning curves to identify overfitting and diminishing returns from additional labels.
Skills you will gain
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Python Programming
- Category: Feature Engineering
- Category: Text Mining
- Category: Embeddings
- Category: Scikit Learn (Machine Learning Library)
- Category: Machine Learning
- Category: Statistical Machine Learning
- Category: Model Evaluation
- Category: Model Training
- Category: Data Preprocessing
