COMET
Get Started
Quickstart Guide
Install and Use COMET
Get Started
Learn By Skill Level
Getting Started
Beginner
Intermediate - Econometrics
Intermediate - Geospatial
Advanced
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Learn By Class
Making Sense of Economic Data (ECON 226/227)
Econometrics I (ECON 325)
Econometrics II (ECON 326)
Statistics in Geography (GEOG 374)
Learn to Research
Learn How to Do a Project
Teach With COMET
Learn how to teach with Jupyter and COMET
Using COMET in the Classroom
See COMET presentations
Contribute
Install for Development
Write Self Tests
Launch COMET
Launch on JupyterOpen
Launch on Syzygy
Launch on Collab
Launch Locally
Project Datasets
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About
COMET Team
Copyright Information
Advanced Modules
Learn by Skill Level
Getting Started: Introduction to Data, R, and Econometrics
Intro to JupyterNotebooks
Intro to R
Intro to Data (Part 1)
Intro to Data (Part 2)
Beginner: Using R and Data in Applied Econometrics
Central Tendency
Dispersion and Dependence
Confidence Intervals
Hypothesis Testing
Visualization I
Visualization II
Distributions
Simple Regression
Sampling Distributions
Intermediate: Econometrics and Modeling Using R
Simple Regression
Multiple Regression
Issues in Regression
Interactions
Geographic Computation
Chi-Square Test
t-test
ANOVA
Regression
Wrangling and Visualizing Data
Advanced Modules
Classification and Clustering
Word Embeddings (Python)
Word Embeddings (R)
Word Embeddings (Colab)
Categories
All
(5)
R
(1)
advanced
(1)
elbow plot
(1)
k-means clustering
(1)
stargazer
(1)
Advanced Modules
This section contains advanced materials and case studies to support a variety of classes.
Modules
3.3 - Advanced - Classification and Clustering
After completing this notebook, you will be able to:
Introduction to Word Embeddings and Language Models
This notebook was prepared by Laura Nelson in collaboration with UBC COMET team members: Jonathan Graves, Angela Chen and Anneke Dresselhuis
Introduction to Word Embeddings and Language Models
R Version
Introduction to Word Embeddings and Language Models
R Version
for Google Collab
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Classification and Clustering