June 2024
Beginner to intermediate
5h 11m
English
Closed Captioning available in English
Overview
In this 5 hr course, embark on a journey through the world of Natural Language Processing with a hands-on approach. Dive into text analytics techniques including spam detection, sentiment analysis, text summarization, topic modeling, and advanced latent semantic analysis, all implemented in Python.
What I will be able to do after this course
- Learn to build classifiers for spam detection using Naive Bayes in Python.
- Understand sentiment analysis and implement it using logistic regression.
- Explore text summarization algorithms, including TextRank, through practice.
- Master topic modeling techniques like LDA and NMF, and apply them effectively.
- Evaluate NLP model performance using metrics such as ROC, AUC, and F1 scores.
Course Instructor(s)
Lazy Programmer is a seasoned machine learning expert with years of experience teaching professionals. With a focus on practical and clear instruction, their courses are designed to strengthen your applied data science skills using hands-on Python coding.
Who is it for?
This course is perfect for data scientists and machine learning engineers eager to expand their NLP knowledge. If you have a basic understanding of Python and machine learning, this course will allow you to develop and apply state-of-the-art NLP techniques. Professionals aspiring to explore advanced analytics and enhance their practical expertise will also find this course invaluable.
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