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Encertify’s Natural Language Processing with Python course will take you through the essentials of text processing all the way up to classifying texts using Machine Learning algorithms. You will learn various concepts such as Tokenization, Stemming, Lemmatization, POS tagging, Named Entity Recognition, Syntax Tree Parsing and so on using Python’s most famous NLTK package. Once you delve into NLP, you will learn to build your own text classifier using the Naïve Bayes algorithm.
This training focuses on step by step guide to NLP and Text Analytics with extensive hands-on using Python Programming Language. It has been packed up with a lot of real-life examples, where you can apply the learned content to use. Features such as Semantic Analysis, Text Processing, Sentiment Analytics, and Machine Learning have been discussed. This course is for anyone who works with data and text with good analytical background and little exposure to Python Programming Language. It is designed to help you understand the important concepts and techniques used in Natural Language Processing using Python Programming Language. You will be able to build your own machine learning model for text classification. Towards the end of the course, we will be discussing various practical use cases of NLP in the python programming language to enhance your learning experience.
Our NLP with Python Training is a good fit for the below professionals:
After completing this NLP training in Python, you will be able to:
Natural Language Processing (or Text Analytics/Text Mining) applies analytic tools to learn from collections of text data, like social media, books, newspapers, emails, etc. The goal can be considered to be similar to humans learning by reading such material. However, using automated algorithms we can learn from massive amounts of text, very much more than a human can. It is bringing a new revolution by giving rise to chatbots and virtual assistants to help one system address queries of millions of users.
NLP is a branch of artificial intelligence that has many important implications on the ways that computers and humans interact. Human language, developed over thousands and thousands of years, has become a nuanced form of communication that carries a wealth of information that often transcends the words alone. NLP will become an important technology in bridging the gap between human communication and digital data.
The pre-requisites for this NLP course is knowledge of Python programming and a good understanding of Machine Learning concepts.
We provide a complimentary self-paced course in your LMS on Python to brush up on your Python Skills.
Towards the end of the course, you will be working on a project. You will be certified as a Natural Language Processing Engineer based on the project. Once you successfully submit your Natural Language Processing with Python certification project, it will be reviewed by the expert panel. After a successful evaluation, you will be awarded with Natural Language Processing Engineer certificate.
Newark, New Jersey – Bridge to NYC with Strong Tech & Enterprise Demand
Newark lies at the nexus of New Jersey and New York, hosting logistics, financial infrastructure, insurance firms, and growing enterprise technology operations. Its proximity to NYC makes it an attractive base for scalable tech and corporate operations.
Certified skills in Cloud & DevOps, AI / Data Science & BI, Agile & Scrum, Project Management, and Quality Management are especially sought. Many firms maintain regional offices or data centers in Newark and expect employees to carry strong technical depth.
By acquiring credentials, you position yourself for roles spanning enterprise tech operations, analytics roles, process leadership, or infrastructure design—serving clients in both New Jersey and the New York metro. Your certification helps you break in and scale in a performance-driven corridor.