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machine learning, Linear regression, Polynomial regression, Dummy…
machine learning
Assessment
Association Analysis
Training set
Testing set
Balanced training set
Oversampling
Undersampling
Confusion matrix
Accuracy, precision, recall, and F1 score
Unbalanced training set
ROC
log-Loss
Data
Target
Features
Numerical data
Categorical data
Time series data
Text data
Algorithms
Support vector machines
Neural networks
Dummy classifiers
Tasks
Supervised
Classification
Support vector machines
Neural networks
Dummy classifiers
Regression
Input features and output targets
Underfitting and Overfitting
Algorithms
Data assessments
Unsupervised
Clustering
Data
Dimensionality reduction
Principal component analysis
Centroid-based clustering
Density-based clustering
Hierarchical clustering
K-means clustering
Davies-Bouldin Index
association analysis
Data for association analysis
Association rules
Antecedent
Consequent
Lift
FP growth algorithm
Linear regression
Polynomial regression
Dummy regressors