Bag of Words Courses and Certifications

Feature Engineering for Text Classification

Master text classification techniques through hands-on practice with tokenization, Bag-of-Words, TF-IDF, sparse matrices, and dimensionality reduction for effective natural language processing applications.

• CodeSignal
• On-Demand
• Free Certificate

Microcredential

Text Classification with Natural Language Processing

Master text classification techniques from data preparation to advanced modeling, including feature engineering, algorithm implementation, and deep learning optimization with TensorFlow.

• CodeSignal
• On-Demand
• Free Certificate
• 4 courses

Meaningful Predictive Modeling

48 ratings at Coursera

Evaluate and compare predictive models using diagnostic techniques and performance measures. Learn to implement training/validation/test pipelines for robust model generalization.

• Coursera
• 8 hours 33 minutes
• On-Demand
• Free Online Course (Audit)

Text Mining with Bag-of-Words in R

Learn the bag of words technique for text mining with R.

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

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 23 minutes
• On-Demand
• Free Online Course (Audit)

Great Learning

What is Natural Language Processing - NLP Full Course

1 review

Comprehensive introduction to Natural Language Processing, covering key concepts, techniques, and applications using Python, with hands-on projects in sentiment analysis and chatbot development.

• YouTube
• 8 hours 3 minutes
• On-Demand
• Free Video

Object Recognition

Explore object recognition techniques, from Bag of Words to selective search, covering codebooks, visual synonyms, and object localization for effective image classification.

• YouTube
• 1 hour 3 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

Open Data Science

Using Your Powers for Good - Data Science in the Social Sector

Explore data science applications in the social sector, including disaster relief and education. Learn techniques like logistic regression and ensemble building for impactful machine learning projects.

• YouTube
• 43 minutes
• On-Demand
• Free Video

Keith Galli

Complete Natural Language Processing Tutorial in Python

Comprehensive Python tutorial covering NLP fundamentals, techniques, and state-of-the-art models. Includes practical examples using popular libraries and hands-on implementation of advanced concepts.

• YouTube
• 1 hour 38 minutes
• On-Demand
• Free Video

Natural Language Processing

Explore natural language processing (NLP) concepts, review Text preprocessing and data cleaning, learn forward propagation and back propagation in neural networks, Word Embedding using Keras and deep learning with examples

• YouTube
• 10 hours
• On-Demand
• Free Video

Data Science Dojo

Introduction to Text Analytics with R - Overview

Explore text analytics with R: tokenization, feature engineering, classification models. Learn data cleaning, analysis, and visualization using a spam dataset. Practical introduction for aspiring data scientists.

• YouTube
• 31 minutes
• On-Demand
• Free Video

Devoxx

Word Embeddings from Deep Space Nine using Machine Learning

Explore word embedding techniques using Star Trek Deep Space Nine scripts, from Bag of Words to BERT, with practical insights for production environments.

• YouTube
• 43 minutes
• On-Demand
• Conference Talk

EuroPython Conference

Building a Naive Bayes Text Classifier with scikit-learn

Learn to build a Naive Bayes text classifier using scikit-learn, exploring preprocessing techniques and feature extraction methods for effective spam detection in YouTube comments.

• YouTube
• 30 minutes
• On-Demand
• Conference Talk

Graham Neubig

Neural Nets for NLP 2020 - Convolutional Neural Networks for Text

Comprehensive exploration of convolutional neural networks for text processing, covering key concepts, applications, and advanced techniques in natural language processing.

• YouTube
• 55 minutes
• On-Demand
• Free Video