- Introduction to Intelligent Data Analysis
- Introduction to reproducible research, Python and libraries Pandas and Numpy.
- Exploratory data analysis
- Data acquisition, integration, and linkage
- Statistical hypotheses testing
- Data cleaning and preprocessing
- Text processing
- Evaluation and selection of machine learning models
- Linear and logistic regression
- Decision trees
- Optimization and simulation
- Imbalanced data, Distributed computing
lectures
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