Bag of Words Courses and Certifications

Meaningful Predictive Modeling

47 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)

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 Online Course

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

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 Online Course

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

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 Online Course

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 Online Course

Krish Naik

Machine Learning Model Retraining Approach - Incremental and Continuous Model Training

Explore incremental machine learning model training for continuous updates, addressing model drift and improving performance over time.

• YouTube
• 31 minutes
• On-Demand
• Free Online Course

Krish Naik

Fake News Classifier with Machine Learning and NLP - Part 1

Learn to build a fake news classifier using machine learning and NLP techniques. Covers data preprocessing, feature extraction, and multinomial classification algorithms for detecting misinformation.

• YouTube
• 25 minutes
• On-Demand
• Free Online Course

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 Online Course

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 Online Course

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

Graham Neubig

Neural Nets for NLP 2019 - Convolutional Neural Networks for Language

Explore convolutional neural networks for NLP, covering bag-of-words, context windows, sentence modeling, stacked and dilated convolutions, and structured convolution for sentence pairs.

• YouTube
• 1 hour 12 minutes
• On-Demand
• Free Online Course

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 Online Course

Graham Neubig

Neural Nets for NLP 2017 - Convolutional Networks for Text

Comprehensive lecture on convolutional networks for text, covering bag-of-words, n-grams, applications, stacked and dilated convolutions, structured convolution, sentence pair modeling, and CNN visualization techniques.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Online Course