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Natural Language Processing - Machine Learning Models in Python

Natural Language Processing - Machine Learning Models in Python

By : Lazy Programmer
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Natural Language Processing - Machine Learning Models in Python

Natural Language Processing - Machine Learning Models in Python

By: Lazy Programmer

Overview of this book

Embark on a journey through the world of text analytics with our expertly crafted course. Starting with an introduction and outline, you'll discover the foundational concepts and receive a special offer to get you started. The initial sections guide you through the setup process, ensuring you have all the resources and tips needed for success. Delve into the core of text analytics with dedicated sections on spam detection, sentiment analysis, text summarization, topic modeling, and latent semantic analysis. Each section begins with a problem description, followed by intuitive explanations of algorithms like Naive Bayes, logistic regression, and Latent Dirichlet Allocation. You'll engage with practical exercises designed to reinforce your understanding, and apply these techniques using Python in a hands-on manner. The course culminates with advanced topics and comprehensive summaries, ensuring you grasp both the theoretical and practical aspects of text analytics. By the end, you'll have a robust understanding of various NLP techniques and the confidence to apply them in real-world scenarios. This course is an essential resource for technical professionals looking to excel in the rapidly evolving field of natural language processing.
Table of Contents (7 chapters)
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Chapter: 1
Welcome
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Tech Concepts
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Programming languages
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Natural Language Processing - Machine Learning Models in Python
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