Stepleaf’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
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Stepleaf's Natural Language Processing using Python 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.
After completing this NLP training in Python, you will be able to:
Who should go for this training?
Stepleaf’s NLP Training is a good fit for the below professionals:
The prerequisites for this NLP course is Python programming and a good understanding of Machine Learning concepts.
As a goodwill gesture, Stepleaf offers a complimentary self-paced course in your LMS on Python to brush up on your Python Skills.
machinelearning, textmining, NLP, OS Module, NLTK Corpora, POS Tagging, NER, Stopword Removal, Tokenization, Analyzing Sentence Structure, Syntax Trees, Chunking, Chinking, Context Free Grammars (CFG), Automating Text Paraphrasing, Count Vectorizer, Term Frequency, Inverse Document Frequency
Learning Objectives: In this module, you will learn about text mining and the ways of extracting and reading data from some common file types including NLTK corpora
Structure your learning and get a certificate to prove it.
What are the system requirements for our NLP Certification Training?
You don’t have to worry about the System Requirements as you will be doing your Practical on a Cloud LAB environment. This environment already contains all the necessary software that will be required to execute your practicals.
How will I execute the practicals?
You will do your Assignments/Case Studies using Jupyter Notebook that is already installed on your Cloud LAB environment whose access details will be available on your LMS. You will be accessing your Cloud LAB environment from a browser. For any doubt, the 24*7 support team will promptly assist you.
All the instructors at StepLeaf are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by StepLeaf for providing an awesome learning experience to the participants.