Professor: Bryan R. Gibson
- Data Cleaning, Exploration and Visualization
- Hypothesis Testing, Statistical Modeling
- Classification, Regression, Clustering
- Dimention Reduction
- Model Evaluation/Selection, Hyperparameter Tuning, Regularization
- Feature Engineering
- Natural Language Processing
- Topic Modelling
- Data processing and delivery using ETL and APIs
- Time Series Analysis
- Recommendation Engines