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chelseyhill

Chelsey Hill

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Linear Regression and Model Selection
INFO 265: Data Integration (Joins)
INFO 365: Hierarchical Cluster Analysis
INFO 365: Association Analysis
Social Network Analysis
Text Mining: Preprocessing & Transformation
Text Mining: Sentiment Analysis
Classification: Special Topics
Classification: Artificial Neural Networks
Classification: Ensemble Methods
Classification: Decision Trees
Classification Analysis: Logistic Regression
Classification: Support Vector Machines
Classification: k-Nearest Neighbors
Classification: Naive Bayes
Principal Components Analysis (PCA)
Association Analysis
Cluster Validation
k-Means Cluster Analysis (kMC)
Hierarchical Cluster Analysis (HCA)
Data: Types, Exploration & Visualization
Data Quality
Data Preprocessing
Introduction to RStudio: Plotting & Packages
Introduction to RStudio: Working Directory, Import & Export
Introduction to RStudio: Vectors & Dataframes
Introduction to RStudio: The Basics
Pretrained Word Embeddings
Creating Reports using Markdown
Deep Learning for Text with Covariates
Deep Learning for Text Data
Sentiment Analysis (Lexicons)
Topic Models (LDA, CTM, STM)
Working with Text Data
BSAN 710