Text Classification Courses and Certifications

James Briggs

Multi-Class Language Classification With BERT in TensorFlow

Build a multi-class sentiment classifier with BERT and TensorFlow, covering text preprocessing, model training, saving and loading, and prediction.

• YouTube
• 43 minutes
• Self-Paced
• Free Video

rupert ai

Multi-Label Classification on Unhealthy Comments - Finetuning RoBERTa with PyTorch - Coding Tutorial

Fine-tune RoBERTa with PyTorch to classify unhealthy online comments for sarcasm, hostility, dismissiveness, and other attributes.

• YouTube
• 1 hour 16 minutes
• Self-Paced
• Free Video

Nicholas Renotte

Build a Comment Toxicity Model with Deep Learning and Python

Build a deep learning model in Python that tokenizes comments and predicts toxicity categories such as threats, insults, and identity hate.

• YouTube
• 1 hour 13 minutes
• Self-Paced
• Free Video

Python TensorFlow for Machine Learning – Neural Network Text Classification Tutorial

Learn to build neural-network text classifiers with TensorFlow, using feedforward and recurrent networks on Colab datasets.

• freeCodeCamp
• 1-2 hours
• Self-Paced
• Free Video

Feature Engineering for Text Classification

1 rating

Turn raw text into model-ready features: tokenize movie reviews, build Bag-of-Words and TF-IDF vectors, work with sparse matrices, and reduce dimensions with TruncatedSVD.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate

Julia Silge

Tune and Evaluate a Multiclass Lasso Model for NBER Working Papers

Build, tune, and evaluate a multiclass lasso model using working-paper titles and publication years to predict economics research categories.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Julia Silge

Build Features for Machine Learning from Netflix Description Text

Use tidy text features and a linear support vector machine to classify Netflix titles as movies or TV shows.

• YouTube
• 34 minutes
• Self-Paced
• Free Video

Natural Language Processing (NLP) in Python

848 ratings at DataCamp

Build a Strong NLP Foundation Unlock the power of Natural Language Processing (NLP) and take your text analysis skills to the next level!

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Deep Learning for Text with PyTorch

800 ratings at DataCamp

Learn Text Processing Techniques You'll dive into the fundamental principles of text processing, learning how to preprocess and encode text data for deep learning models.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Python Tutorials for Digital Humanities

Topic Modeling and Text Classification with Python for Digital Humanities

Discover topic modeling and text classification techniques using Python libraries like Scikit-Learn, Gensim, and spaCy for digital humanities research and analysis.

• YouTube
• 3 hours 58 minutes
• Self-Paced
• Free Video

Shaw Talebi

Text Embeddings, Classification, and Semantic Search with Python Code

Explore text embeddings for classification and semantic search with Python. Learn to transform text into computable vectors for powerful NLP applications.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Applied Text Mining in Python

3827 ratings at Coursera

Mine text with Python: manipulate text using the nltk framework, search and clean it with regular expressions, classify documents, and detect topics through topic modelling.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

Introduction to Natural Language Processing in Python

Learn fundamental natural language processing techniques using Python and how to apply them to extract insights from real-world text data.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Graham Neubig

CMU Advanced NLP: Text Classification

An introduction to neural network computation for text classification, from differentiable functions and forward passes to backpropagation and parameter updates.

• YouTube
• 1 hour 14 minutes
• Self-Paced
• Free Video

AWS Events

Explore Amazon Titan for Language Tasks - Text Generation, Classification, and Information Extraction

Discover how to leverage Amazon Titan foundation models for text generation, content classification, Q&A systems, and data extraction tasks to enhance your natural language processing capabilities.

• YouTube
• 39 minutes
• Self-Paced
• Free Video