Natural Language Processing (NLP) Fundamentals with Python course is designed for IT professionals and Business Analysts who are looking forward to enhancing and upgrading their skills in the branch of AI (Artificial Intelligence) and ML (Machine Learning). NLP is a subset of AI, Computer Science, and Linguistics concerned with the effective interactions between Human Language and computers. In this course, you will learn about how computers interpret, understand, and manipulate human languages. Python is a high-level programming language, and the subject matter of this course also focuses on integrating Python programming language while working with Natural Language Processing. This course will help you to explore the methods of preprocessing Text for Analytics. Here, you will learn about the process of developing, configuring, and managing AI Systems for Project Managers. You may find both on-premise and online platforms to get enrolled in this course.
NATURAL LANGUAGE PROCESSING (NLP) FUNDAMENTALS WITH PYTHON TRAINING
Instructor
admin
- Description
- Curriculum
- Notice
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Prerequisites
- No particular prerequisite is mentioned for this course
- It is recommended that you have some basic knowledge of the Python programming language
- It will be considered an added advantage if you are familiar with the Data and text Processing methods
- It is also expected that you are familiar with the basic concept of AI, ML, and NLP
- You must have a keen interest to learn and know the basics of NLP along with the high-level programming language Python
What will you gain after this course
- You will be recognized as a certified NLP professional
- You will learn about how to use a wide variety of open-source NLP libraries that are available for Python Developers
- You will be able to develop prototypes for the NLP-based expert system using Python
- The content of this course will allow you to explore new frameworks for Python programming languages like TensorFlow, Apache Flink, Apache Spark, and so on
- You will be able to work with some real-life examples of NLP like speech recognition, google voice search, etc.
Jobs you can get
with a Natural Language Processing (NLP) Fundamentals with Python Certification
- Natural Language Processing Specialist
- Senior Data Scientist – Natural Language Processing
- Application Developer – Natural Language Processing
- Data Language Engineer
- Senior Associate, Analytics – Natural Language Processing
- Machine Learning Engineer
Select your preferred training delivery mode
Introduction to Natural Language Processing (NLP)
Overview of Python
Text Wrangling and Cleansing
- Overview of Text Wrangling and Text Cleansing
- Sentence Splitter
- Tokenisation
- Stemming
- Lemmatisation
POS Tagging
- Stanford Tagger
- Sequential Tagger
- Brill Tagger
- Machine Learning-Based Tagger
Parsing Structure in Text
Natural Language Processing Applications
Text Classification
- Naive Bayes
- Decision Trees
- Stochastic Gradient Descent
- Logistic Regression
- Support Vector Machines
- Text Clustering - K-means
Using NLTK with other Python Libraries
- NumPy
- SciPy
- Pandas
- Matplotlib
Text Mining at Scale
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Course details
Duration
Full time, Part-time, Evening and Weekends, Virtual online
Video
London, Flexible online
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