NLP Course for Beginner

Learn Natural Language Processing ( NLP ) & how to analyze text data.

3.50 (500 reviews)
Udemy
platform
English
language
Data Science
category
instructor
NLP Course for Beginner
73,958
students
1 hour
content
Jul 2020
last update
$34.99
regular price

What you will learn

Overview of NLP

Understand and use techniques from NLP

Learn to work with Text Files with Python

Use NLTK for Sentiment Analysis

Write your own sentiment analysis code in Python

Introduction to some key techniques from NLP

Write your own spam detection code in Python

Why take this course?

--- ### **🌟 NLP Course for Beginners: Master Text Data Analysis with Python! 🌟** **Course Instructor:** Code Warriors **Course Title:** [NLP Course for Beginners](#) **Headline:** Dive into the World of Natural Language Processing (NLP) and Transform the Way You Analyze Text Data! --- ### **πŸ“˜ Course Description:** Embark on an exciting journey into the realm of Natural Language Processing with our comprehensive online course tailored for beginners. This is your golden ticket to master NLP using Python, the most sought-after skill in data science and AI. --- ### **πŸš€ What You'll Learn:** - **Foundation of Text Data Handling:** Get comfortable with opening, reading, and writing text files in Python. - **Regular Expressions Mastery:** Discover the power of pattern matching within text data to extract meaningful information. - **NLP Basics:** Dive into the core concepts of NLP such as: - Stemming and Lemmatization πŸƒ - Tokenization πŸ”¨ - Stop Words βœ— - Understanding Text Data πŸ“ - **Advanced NLP Techniques:** - **Part-of-Speech Tagging:** Teach your programs to categorize words intelligently. - **Named Entity Recognition (NER):** Let your code identify and classify key concepts within the text, like 'person', 'organization', or 'location'. - **Interactive Visualization:** Utilize cutting-edge libraries to visualize relationships and dependencies within text data in real-time. - **Machine Learning for Text Analysis:** - **Text Classification:** Develop systems that can classify sentiments, categorize emails as spam or legitimate, and more. - **Unsupervised Learning Methods (Topic Modeling):** Discover hidden topics within text data to gain insights that were previously out of reach. --- ### **πŸŽ“ Why Take This Course?** - **Expert-Led Tutorials:** Learn from a seasoned Code Warrior instructor with real-world NLP experience. - **Hands-On Projects:** Apply your skills to real-life scenarios, ensuring you're ready to tackle any NLP challenge. - **Community Support:** Join a community of learners who are as passionate about NLP as you are. Share knowledge, collaborate, and grow together. - **Industry-Relevant Skills:** Gain expertise that is highly sought after by tech companies and industries looking to leverage the power of text data analysis. --- ### **πŸ› οΈ Tools & Technologies You'll Work With:** - **Python Programming Language:** The cornerstone of data science and NLP. - **Natural Language Toolkit (NLTK):** An extensive library for working with human language data. - **Spacy:** A library for advanced NLP tasks such as tokenization, parsing, and entity recognition. - **Scikit-Learn:** A machine learning library in Python designed to interface efficiently with larger datasets. - **Visualization Libraries:** Tools to visualize complex data in a simple and understandable manner. --- ### **🎯 Course Outline:** 1. **Introduction to Text Data Handling:** Opening, reading, writing text files in Python, and understanding file formats. 2. **Regular Expressions in Python:** Master the art of pattern matching within text data. 3. **Basics of NLP with NLTK & Spacy:** Word tokenization, part-of-speech tagging, named entity recognition, and lemmatization. 4. **Interactive Data Visualization:** Real-time visualization of text data relationships and dependencies. 5. **Text Classification with Scikit-Learn:** Building machine learning models to classify text data automatically. 6. **Unsupervised Learning Methods (Topic Modeling):** Discovering topics within unlabelled text datasets. --- ### **πŸŽ“ Enroll Now and Transform Your Data into Actionable Insights!** Embark on your NLP journey with Code Warriors' "NLP Course for Beginners" and unlock the potential of text data. Whether you're aiming to advance in machine learning, artificial intelligence, or simply curious about the intricacies of natural language processing, this course is your stepping stone to mastery. Sign up today and let's turn words into wisdom! πŸš€πŸ“š ---

Screenshots

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Our review

πŸ“š **Course Overview:** _"NLP From Basic to Advanced"_ is an online course designed to introduce students to the fundamentals of Natural Language Processing (NLP). The course promises to take learners from the basics to more advanced concepts. **Pros:** - **Content Coverage**: The course covers a range of NLP topics, providing a solid foundation for beginners in the field. - **Intermediate Level**: According to some reviews, it successfully explains concepts related to NLP up to an intermediate level. - **Project Included**: The course includes a project that allows students to apply what they have learned. - **Positive Feedback**: There are positive reviews highlighting the clarity and effectiveness of certain parts of the course content. **Cons:** - **Misleading Title**: The title "From Basic to Advanced" might be misleading as the course does not cover advanced NLP topics. It focuses primarily on basic to intermediate concepts. - **Limited Datasets**: The course relies heavily on a single dataset to illustrate its points, which may limit students' exposure to different datasets. - **Lack of Deep Learning Application**: The course only uses the Naive Bays Classifier and does not include more advanced methods such as deep learning techniques. - **Instructor's Delivery Skills**: Some learners found the instructor's delivery skills poor, affecting the overall experience. - **Sound Quality Issues**: Several students reported terrible sound quality that made understanding the instruction challenging. - **Accent Challenges**: The instructor's strong accent and subtitles that struggled to interpret his speech posed significant challenges for many learners. - **Technical Aspects**: The recording environment was noisy, with suggestions for better microphones and quieter spaces needed. - **Beginner Level Focus**: The course seems to be more suited for beginners rather than those looking for advanced NLP knowledge. **Course Experience:** - **Accent and Sound Quality**: A recurring issue mentioned by multiple reviewers is the instructor's accent and poor sound quality, which significantly impacted comprehension. - **Closed Captions**: Closed captions were attempted to aid understanding but were not always effective due to the aforementioned issues. - **Course Structure**: Some learners felt the course lacked clarity in the way concepts were explained, suggesting a more guided approach for beginners. - **Overall Quality**: The overall quality of the course is rated with caution, as it appears to be better suited for those with no prior knowledge of NLP but may not fulfill expectations for more experienced learners seeking advanced content. **Learner Recommendations:** - If you are a beginner looking for an introduction to NLP, this course might be beneficial if the sound quality and accent issues can be overlooked. - For those seeking an advanced NLP course or a comprehensive learning experience with clear delivery, it is recommended to look for alternatives that address these concerns. **Final Rating:** 3.55/5 The final rating of "NLP From Basic to Advanced" is a reflection of the mixed experiences and feedback from students. While some found value in the basic and intermediate content provided, widespread issues with delivery, sound quality, and accessibility due to the instructor's accent have led to an overall middling score. Potential students are advised to consider their learning style and needs before enrolling.

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3278782
udemy ID
6/28/2020
course created date
7/6/2020
course indexed date
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