## Data mining Homework Help l Project l Assignment

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- Data visualization
- Descriptive statistics
- Evaluation metrics for regression tasks
- Regression tasks
- Strategies to handle unknown variable values
- Model selection/comparison through k-fold cross-validation
- Multiple linear regression
- Regression trees
- Classification methods
- Clustering methods
- Imbalanced class distributions and methods for handling this type of problems
- Naive Bayes classifiers
- Precision/recall and precision/recall curves
- Feature selection methods for problems with a very large number of predictors
- K-Nearest neighbors
- Random forests