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Machine Learning - Coggle Diagram
Machine Learning
Data
What do we care about?
Targets
Features
What are the types?
Numerical
Categorical
Time Series
Text
Classification
Features (Inputs)
Class (Outputs)
Regression
Features (Inputs)
Targets (Output)
Clustering
Feature (Inputs)
PCA
Dimensionality Reduction
No Labelled Output (Unsupervised)
Association Analysis
Features (Inputs)
No Labelled Output (Unsupervised)
Task
Supervised
Classification
Regression
Unsupervised
Clustering
Association Analysis
Classification
Training Set
Balanced Training Set
Over sampling
Under sampling
Unbalanced Training Set
Testing Set
Regression
Underfit
Overfit
Clustering
Density Based
Hierarchial
Centroid-Based
Association Analysis Rules
Antecedent
Consequent
Assessment
Classification
Confusion Matrix
Precision
Recall
Accuracy
F1 Score
Regression
Mean Squared Error (MSE)
Root Mean Squared Error (RMSE)
Mean Absolute Error (MAE)
R squared
Clustering
Internal Evaluation
Davies-Bouldin Index
External Evaluation
Association Analysis
Confidence
Lift
Support
Algorithm
Classification
Support Vector Machines
Neural Networks
Dummy Classifiers
Regression
Ridge or LASSO
Polynomial Regression
Linear Regession
Dummy Regressor
Clustering
Centroid Based Clustering
K-Means
Density-Based Clustering
BDSCAN
Hierarchical Clustering
Agglomerative Clustering
Association Analysis
Apriori (array based)
FP-Growth