Supervised Text Classification for Marketing Analytics
Completed by Jared Tesar
October 28, 2023
21 hours (approximately)
Jared Tesar'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: Machine Learning Algorithms
- Category: Supervised Learning
- Category: Marketing Analytics
- Category: Data Manipulation
- Category: Transfer Learning
- Category: Data-Driven Marketing
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Statistical Machine Learning
- Category: Scikit Learn (Machine Learning Library)
- Category: Feature Engineering
- Category: Python Programming
