If you wish to build high-performing day-to-day apps by leveraging Natural Language Processing (NLP), then the Natural Language Processing (NLP) with NLTK and Scikit-learn Course is an excellent platform to achieve your goals. This comprehensive 2-in-1 course empowers you to write applications using one of the most popular data science concepts, NLP. It provides you with the necessary skills and expertise to build expert NLP applications and machine learning projects using NLTK and Python library- scikit-learn library.
Overview of the Course
The Natural Language Processing (NLP) with NLTK and Scikit-learn course focuses on teaching you the essential skills necessary to implement NLP concepts in practical applications. It starts by building three NLP applications, a spam filter, a topic classifier, and a sentiment analyzer. You will then learn how to use open-source libraries such as NLTK, Scikit-learn, and spaCy to perform routine NLP tasks backed by machine learning and NLP processing models with ease.
The course is designed to take you on an exciting journey, starting from the very basics of using a corpus and regular expressions to learning advanced NLP concepts. The program aims to solve common NLP problems faced in your day-to-day tasks by presenting practical demonstrations, clear explanations, and interesting real-world examples.
This training program includes two complete courses, carefully selected to provide the most comprehensive training possible:
- Hands-on NLP with NLTK and Scikit-learn - This course is designed to teach you the fundamentals of NLP and how to use open source tools for it. The initial part of the course will help you understand a corpus and why it is important. You will also learn to build a spam classifier. The course also covers building an NLP project from scratch using NLTK and Scikit-learn.
- Developing NLP Applications Using NLTK in Python - This course focuses on advanced solutions that will take you from beginner to professional in performing natural language processing with NLTK. You will come across various concepts covering natural language understanding, natural language processing, and syntactic analysis.
Course Description
As mentioned earlier, the Natural Language Processing (NLP) with NLTK and Scikit-learn course provides an in-depth understanding of the fundamental concepts, tools, and techniques of NLP. It empowers you to build intelligent applications using Machine Learning and NLP processing models suitable for day-to-day tasks.
The course provides a step-by-step approach to learning NLP, making it easily accessible for beginners, as well as for experienced professionals. The program begins with a clear overview of the basic NLP concepts essential to building applications and takes you through practical examples to demonstrate their role in building NLP applications. The course also covers topics like sentiment analysis, topic modeling, text representation with bag-of-words and TF-IDF, and more.
You get hands-on experience with the popular NLP libraries in Python, including NLTK and Scikit-learn. You also learn how to build machine learning models with these libraries to classify documents, extract information, and analyze sentiment. The course also covers exploratory data analysis and data visualization using Python libraries, such as pandas and matplotlib.
Course Author(s)
The Natural Language Processing (NLP) with NLTK and Scikit-learn course has been designed and created by the best experts to ensure that learners have a smooth learning journey. Here are some of the esteemed authors:
- Colibri Ltd - is a technology consultancy company founded by James Cross and Ingrid Funie in 2015. The company specializes in helping its clients navigate the rapidly changing and complex world of emerging technologies, with deep expertise in areas such as big data, data science, machine learning, and cloud computing.
- Rudy Lai - is the founder of QuantCopy, a sales acceleration startup that uses AI to write sales emails to prospects. Prior to founding QuantCopy, Rudy ran HighDimension.IO, a machine learning consultancy where he helped startups and enterprises with Machine-Learning-as-a-Service, allowing them to scale up data expertise in the blink of an eye. In the first part of his career, Rudy spent 5+ years in quantitative trading at leading investment banks.
- Krishna Bhavsar - has spent around ten years working on natural language processing, social media analytics, and text mining in various industry domains such as hospitality, banking, healthcare, and more. He has also published a paper on sentiment analysis augmentation techniques in 2010 NAACL.
- Naresh Kumar - has more than a decade of professional experience in designing, implementing, and running large-scale Internet applications in Fortune Top 500 companies.
- Pratap Dangeti - develops machine learning and deep learning solutions for structured, image, and text data at TCS, in its research and innovation lab in Bangalore.
Course Rating and Reviews
The Natural Language Processing (NLP) with NLTK and Scikit-learn course currently has a Course Rating Aggregate of 3.64/5, based on 23 Course Reviews. It is a decent score and indicates that many learners have found the course helpful in achieving their learning objectives.
The course has garnered some positive reviews from learners globally. One learner states, "I found this course very informative and helpful with real-world applications." Another learner adds, "The course was very well structured and the instructors were incredibly knowledgeable. I would highly recommend this course."
Some learners have also provided some constructive feedback, such as "The course lacked practical applications, which could have been much better." Another learner mentioned that "The course was a bit too fast-paced for beginners."
Who can Benefit from the Course?
The Natural Language Processing (NLP) with NLTK and Scikit-learn course is suitable for professionals who want to learn NLP, including data scientists, software engineers, and machine learning engineers. It is also useful for students who want to learn and understand the concepts of NLP and apply them to practical applications. The course provides the necessary skills for building intelligent applications using machine learning and NLP processing models suitable for day-to-day tasks.
Benefits of the Course
Enrolling in the Natural Language Processing (NLP) with NLTK and Scikit-learn course offers many benefits, including:
- Comprehensive understanding of NLP concepts, tools and techniques, and their usage in practical applications
- Hands-on experience with popular NLP libraries in Python, including NLTK and Scikit-learn
- Understanding the basics of Machine Learning and how it applies to NLP
- Practical examples to demonstrate the role of NLP in building applications
- Learn different approaches to building models, such as decision trees, Naive Bayes, Support Vector Machines, and more
- Opportunity to build your own application using NLP concepts and techniques
- Insight into real-world challenges in NLP and their solutions, enabling you to apply these in practical scenarios
Wrapping Up
The Natural Language Processing (NLP) with NLTK and Scikit-learn course provides a comprehensive understanding of NLP concepts, tools, and techniques. It offers hands-on experience and practical examples to demonstrate the role of NLP in building applications. It is a valuable course for anyone interested in learning NLP, including data scientists, software engineers, and machine learning engineers. The course has some excellent reviews and provides learners with the skills necessary for building intelligent applications using Machine Learning and NLP processing models suitable for day-to-day tasks.
