This learning path offers foundational knowledge in Natural Language Processing (NLP). It covers data exploration, preprocessing, text vectorization, and machine learning for text classification. Gain proficiency in transforming text into insights and implementing models to classify text.
Overview
Syllabus
- Course 1: Introduction to Text Data Exploration in Python
- Course 2: Text Data Preprocessing in Python
- Course 3: Introduction to TF-IDF Vectorization in Python
- Course 4: Building and Evaluating Text Classifiers in Python
Courses
-
This introductory course guides you through the initial yet critical steps of any data science project: data exploration. By utilizing Python and specifically pandas, you'll learn to load, inspect, and analyze datasets to gain fundamental insights. These steps are crucial for preparing you for Natural Language Processing explorations.
-
Learn to clean and prepare textual data for machine learning models using Python. This course teaches you to apply basic preprocessing tasks such as text lowercasing, removing stopwords, tokenization, and stemming on the SMS Spam Collection dataset. By the end of this course, you’ll have the skills to transform raw text into a format that's ready for NLP tasks.
-
Venture into the world of text vectorization with a focus on TF-IDF (Term Frequency-Inverse Document Frequency) in Python. Through this course, you'll learn how to convert text into numerical features that machine learning models can work with. Using the SMS Spam Collection dataset, you will understand how to apply TF-IDF to prepare text data for predictive modeling.
-
Progress from preprocessing text data to building predictive models with this practical course. You'll learn how to leverage machine learning algorithms, such as Naive Bayes and logistic regression, to classify text into categories. Using the preprocessed SMS Spam Collection dataset, the course guides you through training classifiers, making predictions, and evaluating their performance.
Related Courses
Related Articles
-
[2026] Unlock 2000+ Free Certificates: Master Tech & Soft Skills with CodeSignal Learn
-
[2026] Massive List of MOOC-based Microcredentials
-
CodeSignal Review (2026): The “Duolingo for Coding” Put to the Test
-
Become a Supercommunicator: Practical Skills for Better Conversations
-
10 Best FastAPI Courses for 2026: Build Modern Python APIs
-
10 Best Flask Courses for 2026: Build Simple Stable Sites
Reviews
5.0 rating, based on 1 Class Central review
-
Excellent course with clear explanations and practical examples. Highly recommended.
Great learning experience. The content was easy to understand and apply.
Well-structured course with useful hands-on exercises and real-world examples.
Informative and engaging. More advanced projects would make it even better.
The course was helpful, practical, and easy to follow. Thank you!
Good balance of theory and practice. I gained valuable NLP skills.
Easy-to-understand lessons with relevant examples and useful assignments.
Very informative course. Looking forward to more advanced NLP topics.
