A collection of course material for various courses.
Course material should be general making it is easy to reuse for different courses.
- EDI 3400 Programming and data management
- GRA 4160 Predictive modelling with machine learning
- GRA 4164 Text as data
- AI for finans
- Digital transformasjon
- Introduction to Python and Jupyter Notebooks
- Variables, expressions and containers
- Built-in functions and containers
- Conditional execution and loops
- Opening and writing to files
- The Standard Python Library
- Functions
- Classes
- NumPy
- Pandas
- Matplotlib
- Advanced topics
- IDEs and generative AI
- Extracting data from the web
- Analyzing data
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- Stemming
- Lemmatization
- Stop Words
- Bag of Words
- TF-IDF
- N-gram Model
- Text Classification
- Word2Vec
- Transformer
- Supervised Learning
- kNN
- Linear discriminant analysis
- Regularised regressions
- Logistic regressions
- Decision trees
- Model selection
- Bias-variance tradeoff
- Principal component analysis
- K-means clustering
- Ensemble methods
- Random forests
- Extra trees
- Bagging