Beginner
7 hrs 46 min
4.43
21
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Lead Academy PTE
License No. 283870
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Natural Language Processing (NLP) for Beginners using Python
Are you ready to dive into the world of Natural Language Processing (NLP), where machines understand and respond to human language? Then, this course is for you! This essential AI field empowers you to automate tasks, analyze text data, and gain valuable insights, making it a crucial skill in today's data-driven world.
Why Is This Course Important to Learn?
In today's data-driven world, understanding and processing human language is crucial for many applications. From chatbots and sentiment analysis to text summarization and translation, NLP is the backbone of these innovations.
Who Is This Course For?
- Beginners eager to explore the world of NLP.
- Data enthusiasts looking to deepen their understanding of text processing.
- Professionals seeking to integrate NLP techniques into their work.
- Students and researchers aiming to enhance their analytical skills.
- Anyone interested in leveraging language data for business or personal projects.
Why Should You Enroll?
- Master Text Cleaning: Learn techniques to clean and preprocess text data.
- Enhance Data Accuracy: Improve the quality of your text data by correcting typos and removing unwanted elements.
- Boost Analytical Skills: Develop skills in tokenization, stemming, lemmatization, and more.
- Understand Text Representation: Dive into methods like Bag of Words and TF-IDF.
- Gain Practical Experience: Apply your knowledge to real-world datasets and practical examples.
- Explore Advanced Topics: Delve into EDA, text representation, and statistical language modeling.
What Will You Learn?
- Introduction to NLP: Understand the basics and applications of NLP.
- Text Cleaning and Preprocessing: Learn to clean and preprocess text by removing punctuation, stopwords, and correcting typos.
- Text Representation Techniques: Master Bag of Words, TF-IDF, and converting text to sequences.
- Handling Text Data: Tackle exceptions with OOV tokens and use padding techniques.
- Practical Applications: Work with real datasets and practical examples to solidify your learning.
Enrol in LEAD Academy’s NLP Course today to enhance your skills, automate tasks, and unlock career opportunities in the rapidly growing field of language data analysis.
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What Will I Learn?
- NLP Fundamentals
- Text Cleaning
- Data Accuracy
- Tokenization
- Text Representation
- Practical Examples
Course content
- 6 Chapters
- 50 Lessons
- 7 hrs 46 min
Course Overview
Free Preview
00:05:59
Kaggle Introduction
Free Preview
00:09:45
Google Colab Introduction
00:11:27
Huggingface Introduction
00:05:56
Removing Punctuation
00:03:16
Correction of Typos
00:06:37
Removing Stopwords
00:03:40
Tokenization
00:06:25
Stemming and Lemmatization
00:04:42
Stemming and Lemmatization Difference
00:03:10
Number to Words Conversion
00:02:15
Part-Of-Speech (POS) Tagging
00:04:31
Quiz 01
Text Cleaning & Text Preprocessing
00:02:21
Bag of Words
00:03:29
Term Frequency Inverse Document Frequency
00:10:34
Text to Sequence
00:08:14
Handling Exceptions (Out of Vocabulary Tokens)
00:01:39
Padding
00:08:02
Introduction to Real Datasets
00:01:14
Kaggle Account Setup
00:02:26
EDA and Text Representation Practical Example
00:08:06
Natural Language Processing Pipeline
00:01:14
Language Model Evolution
00:02:41
Statistical Language Model
00:01:30
Logistic Regression
00:07:03
Logistic Regression with Binary Classification
00:11:43
Logistic Regression with Binary Classification and Parameter Tuning
00:07:07
Multinomial Logistic Regression
00:04:31
Naive Bayes Classifier
00:11:45
Bernoulli Naive Bayes Classifier
00:03:57
Bernoulli Naive Bayes Classifier with Parameter Tuning
00:03:05
Multinomial Naive Bayes Classifier
00:04:28
N-gram Models
00:15:44
N-Gram Models Project (Intro & Preprocessing Data)
00:19:20
N-Gram Models Project (Modeling Algorithm)
00:30:57
N-Gram Models Project (Perplexity and Queries)
00:23:14
Deep Learning Models: Part 1
00:23:36
Deep Learning Models: Part 2
00:30:40
Deep Learning Models Practical
00:20:49
Natural Language Processing Pipeline
00:02:36
What is a large language model or LLM
00:05:20
Generative AI and Conversational AI
00:06:50
Transformers Models
00:05:47
Hugging Face Spaces
00:02:10
Machine Translation
00:20:49
Automatic Text Summarization
00:21:45
Contextual Question Answering
00:06:45
Tabular Question Answering
00:09:26
Named Entity Recognition
00:14:19
Automatic Speech Recognition
00:33:19
Pre Requisites
- Basic Computer Skill
- Keep video resolution at 1080p
Review
4.43
Hasan Md. Shahriare
So far, I feel the course is going smooth. I am in middle of the course. I want to ask the trainer that please provide us the notebooks for our practices. Thanks for understanding!
Mohammad Shahadul Islam
The course was well designed. Those who are interested in this topic will find this course helpful
Reply from Instructor
Thank you for your positive feedback.Stay connected.
Arunim Ahmed
This is the best hands-on NLP course for beginners like me. The instructor avoided lengthy explanations and complex mathematics, making the concepts clear and concise. The practical demonstrations of the concepts on codes using python are very helpful. Highly recommended for any beginners.
Reply from Instructor
Thank you, Keep learning!
Dipankar Banik
Jubayer
The "(NLP) for Beginners using Python" course from Lead Academy was a great learning experience. The high-quality videos, well-structured content, and clear instructional materials made NLP concepts accessible and engaging. Although the sound quality could be improved, the instructor’s engaging delivery and seamless video load times greatly enhanced my understanding. I highly recommend this course for anyone starting in NLP.
Reply from Instructor
Thank you, Keep learning!
MD Tanvir Rahman
বলতেছে এক জিনিস হচ্ছে আরেক জিনিস । তার পড়ে বলতেচ্ছে "আচ্ছা তাহলে এখন এমন হয়" । ভাই শেখাতে আসছেন নাকি শিখতে আসছেন ?? বিন্দুমাত্র কোর্স প্লান আপনার নাই । ভাই শুদ্ধ ভাষায় স্পষ্ট করে কথা না বলতে পাড়লে কোর্স বানানোর দরকার নাই। বাংলা ইংলিশ , লোকাল accent এ কথা এমন ভাবে বলতেছেন যেন আপনার সাথে টং এর দোকানে আড্ডা দিতে বসছি । একটা কোর্স বানাবেন সাউন্ড কয়ালিটি এতো লো কেন ? টিচার মিন মিন করে নিজে নিজে কথা বলে । টিচারের নিজের কোন প্রস্তুতি নেই । একটা কোর্স বানাবেন কি বলবেন সেটা ঠিক করা নাই। ভিডিও তে বসে ট্রায়াল অ্যান্ড এররর করতেছে । কোন কিছু না হলে বলতেছে আচ্ছা এভাবে না করি , টাকা নইয়ে ফাইযলামি করতেছেন?? । LLM নিয়ে একটা সেকশন সেখানে ATTENTION model নিয়ে দুইটা ভিডিও নাই বেশি কিছু বলা নাই । টিচার এর লেসসন প্লান বলে কিছু নাই । মনে হয় কম্পিউটার এর সামনে ২০ টাকার হেডফোন নিয়ে বসে গেছে কোর্স বানাতে । Coursera ,pluralsight এর কোর্স দেখেন লেসন সব প্লান করা । কি বলবে আগে থেকে প্লান করা ।
Reply from Instructor
As I tried to make this a hands-on, practical course, I pretty much tried to avoid maths and complex theories rather than focusing on practical works. For example, it is my belief, one does not need to know "computer architecture " to operate a computer in general. Accent doesn't matter if the meaning/context is conveyed properly to the other side. Some YouTube educators or local public figures are some of the best examples. But still your feedback is always appreciated, I can always work on this to be a better speaker/presenter. Trial and error were done to show what to do and what not to do or how much a result may deviate if something different is given as input to something. The math was done by myself on paper before putting them on those slides, I knew beforehand what I should put as input to get the expected output. But, I tried to show a few different outcomes because I wanted to show probable deviated results too. As for the non-math contents, I tried to put those contents on slides along with a brief introduction. So, I did study about them and tried to deliver them the best way possible by myself or the easiest way possible for the learners to understand. Sometimes, one approach seemed tough halfway, I took another approach to make it easier to understand. These processes were done so the learners may get a hands-on experience. NLP is a huge ocean, and this is a beginner-friendly course for non-cs people background, just enough to get one started with practical NLP. There are opportunities to improve and enhance this course and your feedback is really an important value addition for that. Thank you.
Dipankar Banik
Dear Rezuwan Bhaiya, Thanks a ton to you for giving us a awesome course. My request is to you, please give advance NLP courses.
Reply from Instructor
Thank you, I'll try. Keep learning!
BDT 780 ৳1200
Course Duration
7 hrs 46 min
Course Level
Beginner
Students Enrolled
21
Language
English, Bangla
This course includes
47 Quizzes
2 Free Lessons
36 Months Access
Free Exercise Files & Downloadable Resources
Shareable Certificate of Completion
Access on Mobile, Tablet and PC
Facebook Community Group Support
100% online course
Student Helpline
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