NLP – Embeddings & Text Preprocessing in Python
Completed by Mehmet Ali DURSUN
February 4, 2026
9 hours (approximately)
Mehmet Ali DURSUN's account is verified. Coursera certifies their successful completion of NLP – Embeddings & Text Preprocessing in Python
What you will learn
Grasp key NLP concepts such as tokenization, stopwords, and lemmatization.
Master text vectorization with Count Vectorizer and TF-IDF for effective data transformation.
Implement neural word embeddings and gain practical experience with text preprocessing for machine learning applications.
Skills you will gain
- Category: Deep Learning
- Category: Development Environment
- Category: Scikit Learn (Machine Learning Library)
- Category: Data Preprocessing
- Category: Embeddings
- Category: Software Installation
- Category: Text Mining
- Category: Machine Learning Algorithms
