Feature Engineering for NLP in Python

Engineering and Technology

Short Description

Learn techniques to extract useful information from text and process them into a format suitable for machine learning.

Long Description

This course offers a comprehensive understanding of techniques for extracting valuable information from text and transforming it into a suitable format for the application of machine learning models. Throughout the course, you will gain knowledge in various areas such as POS tagging, named entity recognition, readability scores, n-gram and tf-idf models, and their implementation using scikit-learn and spaCy. Additionally, you will develop the ability to determine the similarity between two documents. Practical applications of these techniques include sentiment analysis of movie reviews and the creation of movie and Ted Talk recommendation systems. By the end of the course, you will possess the skills to engineer crucial features from any text and tackle complex challenges in the field of data science.

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Course Details

Duration: 4 hours
Format: Short Course
Price: USD39.00
Course Link

DataCamp

DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.

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