TF-IDF Courses and Certifications

Text Mining & NLP

37 ratings at Udemy

Master text mining and NLP techniques including Named Entity Recognition, sentiment analysis, TF-IDF, word embeddings, and text classification to extract valuable insights from unstructured data.

• Udemy
• 16 hours 19 minutes
• On-Demand
• Paid Course

EDUCBA

Project on Recommendation Engine - Book Recommender

11 ratings at Coursera

Discover how to build a functional book recommendation engine using Python, data science techniques, and content-based filtering to create personalized suggestions.

• Coursera
• 5 hours 15 minutes
• On-Demand
• Paid Course

Packt

Introduction to NLP and Syntactic Processing

Master NLP fundamentals, from text encoding to advanced syntactic processing. Apply techniques like RegEx, lexical analysis, and probabilistic parsing to real-world projects, enhancing your ability to process and analyze natural language.

• Coursera
• 13 hours 38 minutes
• On-Demand
• Paid Course

Packt

Recommender Systems with Machine Learning

Master recommender systems: from theory to practice. Build content-based and collaborative filtering models using Python and ML. Implement real-world projects for song and movie recommendations.

• Coursera
• 8 hours 15 minutes
• On-Demand
• Paid Course

Packt Microcredential

Applied NLP and Generative AI

Master practical NLP and Generative AI skills using Python, from text preprocessing to transformer fine-tuning and deploying real-world applications like chatbots.

• Coursera
• 4 weeks, 10 hours a week
• On-Demand
• Paid Course
• 3 courses

Packt

NLP – Embeddings & Text Preprocessing in Python

Master the essentials of NLP with text preprocessing techniques, vector models, and neural word embeddings. Learn to transform raw text into usable formats for machine learning through hands-on Python implementations.

• Coursera
• 9 hours 22 minutes
• On-Demand
• Paid Course

Packt

Basics of Chatbots with Machine Learning & Python

Develop chatbots using machine learning and Python. Learn NLTK, build rule-based and conversational bots, and explore advanced features like Wikipedia integration. Gain practical experience through hands-on projects.

• Coursera
• 4 hours 57 minutes
• On-Demand
• Paid Course

EDUCBA

Chatbots with Keras & NLP: Build & Evaluate

Master chatbot development using Keras & NLP techniques, from text preprocessing to advanced neural architectures with attention mechanisms for real-world AI applications.

• Coursera
• 7 hours 19 minutes
• On-Demand
• Paid Course

Coursera

Engineer & Explain AI Model Decisions

Discover how to build trustworthy AI systems by mastering feature engineering, model interpretability, and bias detection for ethical deployment in production environments.

• Coursera
• 3 hours 47 minutes
• On-Demand
• Paid Course

Coursera

Create Chatbots & NLP Apps

Master chatbot development with RAG systems, dialog optimization, named entity recognition, and text vectorization techniques for intelligent customer interactions.

• Coursera
• 3 hours 40 minutes
• On-Demand
• Paid Course

Advanced NLP with Python for Machine Learning

567 ratings at LinkedIn Learning

Build upon your foundational knowledge of natural language processing (NLP) by exploring more complex topics such as word2vec, doc2vec, and recurrent neural networks.

• LinkedIn Learning
• 2 hours 10 minutes
• On-Demand
• Free Trial Available

Processing Text with Python Essential Training

210 ratings at LinkedIn Learning

Learn the essential techniques for cleansing and processing text in Python. Discover how to convert text to a form that's ready for analytics and predictions.

• LinkedIn Learning
• 34 minutes
• On-Demand
• Free Trial Available

RAG and MCP Fundamentals - A Hands-On Crash Course

1 review

Master RAG and MCP through hands-on labs to build integrated AI systems that connect models to your data and coordinate multi-component applications effectively.

• freeCodeCamp
• 1 hour 40 minutes
• On-Demand
• Free Video

Learn to build basic language models in Python, including bag-of-words, tf-idf, and word embeddings. Develop skills for measuring word similarity and determining document importance.

• Codecademy
• 4 hours
• On-Demand
• Free Trial Available

Natural Language Processing in JavaScript with Natural

41 ratings at egghead.io

Learn to process and analyze text using Natural library in JavaScript, covering tokenization, stemming, classification, and advanced NLP techniques for efficient language processing.

• egghead.io
• 39 minutes
• On-Demand
• Paid Course