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via Udemy |
Go to Course: https://www.udemy.com/course/complete-natural-language-processing-nlp-with-spacy-nltk/
Certainly! Here's a comprehensive review and recommendation for the course on Coursera titled "Natural Language Processing (NLP) in Python with 8 Projects" created by instructors Ankit and Vijay: --- **Course Review: Natural Language Processing (NLP) in Python with 8 Projects** This course stands out as a highly comprehensive and practical introduction to Natural Language Processing (NLP), designed for both students and professionals eager to explore the burgeoning field of AI. With over 18 hours of HD-quality video content, the course offers a detailed yet accessible path into the world of NLP, making complex topics understandable for learners with basic Python knowledge. **What You Will Learn:** - Fundamental NLP tasks such as tokenization, lemmatization, stopword removal, named entity recognition, and part-of-speech tagging using libraries like Spacy and NLTK. - Real-world applications including spam detection, sentiment analysis on restaurant reviews and Twitter data, and automated text summarization. - Advanced deep learning techniques like CNNs, RNNs, and LSTMs for text classification and text generation. - Practical use of popular libraries such as TensorFlow, Keras, and Gensim for implementing word embeddings and neural network models. - Data analysis and visualization with Numpy, Pandas, and Matplotlib. The course is enriched with practical projects, including classifying reviews, detecting spam, analyzing Twitter sentiment, and generating text, which are invaluable for solidifying understanding and building a practical portfolio. **Recent Feedback:** Students widely appreciate the course's clarity, patience of the instructor, and well-structured content. Many have highlighted the bite-sized delivery approach, which makes complex topics more approachable. The course is also praised for its practical code examples that can be directly applied to real-world problems. **Recommendations:** - Ideal for beginners with some Python experience who wish to delve into NLP. - Suitable for those aiming to understand both foundational and advanced NLP techniques. - Recommended for data enthusiasts, aspiring data scientists, and AI professionals interested in natural language applications. **Final Verdict:** This course is a top-rated choice for anyone looking to gain in-depth knowledge of NLP with hands-on projects. It’s well-structured, covers a wide array of topics, and provides lifetime access to course materials and support. Whether you are starting your AI journey or enhancing your data science skill set, this course will equip you with the necessary tools and understanding to excel. **Enroll now to unlock the potential of natural language processing and elevate your career in AI and data science!** --- If you need a shorter version or a version tailored for specific audiences, please let me know!
Update 1.1 as of 29/01/2025Generative AILLMLangChainHuggingFaceOllamaOpenAIGeminiDeepSeekGoogle NotebookLMAzure AI Services (Azure OpenAI Service)Recent reviews: "Thorough explanation, going great so far. A very simplistic and straightforward introduction to Natural Language Processing. I will recommend this class to any one looking towards Data Science""This course so far is breaking down the content into smart bite-size pieces and the professor explains everything patiently and gives just enough background so that I do not feel lost.""This course is really good for me. it is easy to understand and it covers a wide range of NLP topics from the basics, machine learning to Deep Learning.The codes used is practical and useful.I definitely satisfy with the content and surely recommend to everyone who is interested in Natural Language Processing"Update 1.0:Fasttext Library for Text classification section added.Hi Data Lovers,Do you have idea about Which Artificial Intelligence field is going to get big in upcoming year?According to statista dot com which field of AI is predicted to reach $43 billion by 2025?If answer is 'Natural Language Processing', You are at right place. Do you want to know How Google News classify millions of news article into hundreds of different category.How Android speech recognition recognize your voice with such high accuracy.How Google Translate actually translate hundreds of pairs of different languages into one another.If answer is "Yes", You are on right track.and to help yourself, me and my friend Vijay have created comprehensive course For Students and Professionals to learn Natural Language Processing from very BeginningNLP - "Natural Language Processing" has found space in every aspect of our daily life.Cell phone internet are the integral part of our life. Any most application you will find the use of NLP methods, from search engine of Google to recommendation system of Amazon & Netflix.Chat-botGoogle Now, Apple Siri, Amazon AlexaMachine TranslationSentiment analysisSpeech Recognition and many more.So, welcome to my course on NLP.Natural Language Processing (NLP) in Python with 8 ProjectsThis course has 18+ Hours of HD Quality video, and following content.Course Outline: 1: Welcome In this section we will get complete idea about what we are going to learn in the whole course and understanding related to natural language processing.2: Installation & Setup In this section we will get our online environment Google Colab setup.3: Basics of Natural Language Processing In this section we will dive into all basic NLP task like Tokenization, Lemmatization, stop word removal, name entity recognition, part of speech tagging, and see how to apply with different functions available in a Spacy and NLTK library.4, 5, 6: Spam Message Classification, Restaurant Review Prediction (Good or bad), IMDB, Amazon and Yelp review ClassificationIn the next 3 section we will get dive into a real world data set for text classification, spam detection, restaurant review classification, Amazon IMDb reviews. We will see how to do Pre-Processing and make your data suitable for machine learning algorithm and apply different Machine Learning estimator (Logistic Regression, SVM, Decision Tree) for classifying text.7, 8: Automated Text Summarization, Twitter sentiment Analysis In this 2 section we will work upon real world application of NLP.Automatic text summarisation, Which compress your text to find the summary of big articlesAnother one we will work is finding the sentiment from the recently posted tweet about some specific keyword with the help of Twitter API - tweepy library9: Deep Learning Basics In This Section we will get a basic idea about Deep learning concept, like artificial neural network activation function and how ANN works.10: Word Embedding In This Section, we will see How to implement word2vec on our custom datasets, as well as using Pretrained Google Model.11, 12: Text Classification with CNN & RNN In this section we will see how to apply advanced deep learning model like convolution neural networks and recurrent neural networks for text classification.13: Automatic Text Generation using TensorFlow, Keras and LSTM In this section we will apply neural network based LSTM model to automatically generate text.14, 15, 16, 17: Numpy, Pandas, Matplotlib + File Processing In this section, for all of you who want refresh concept related to data analysis with Numpy and Pandas library, Data Visualization with Matplotlib library, and Text File processing and PDF File processing.So, This is the one of the most comprehensive course on natural language processing,And I am expecting you to know basic knowledge of python and your curiosity to learn Different techniques in NLP world.YOU'LL ALSO GET:Lifetime access to Natural Language Processing (NLP) with Python CourseUdemy Certificate of Completion available for downloadFriendly support in the Q & A sectionSo What Are You Waiting For ? Enroll today! and Empower Your Career!I can't wait for you to get started on mastering NLP with Python.Start analyzing your text data & I will see you inside a class.RegardsAnkit & Vijay