- machine learning algorithms and models that constitute typical machine learning systems.
- background to conduct research in machine learning and apply state-of-the-art learning algorithms.
| LR-Direct | LR-Direct-Polynomial | LR-Direct-Many | LR-SGD | |
| KMeans-Blobs | KMeans-Moons | |||
| Gaussian-3D | Gaussian-Sampling | |||
| PCA-2D | PCA-Reduction | PCA-Noise | PCA-Handwriting | PCA-Eigenfaces |
| KNN-Iris | KNN-Iris-K | KNN-MNIST | ||
| Image-Handling | ||||
| LogisticR-Simple | LogisticR-Exploratory | |||
| DTree-Classification | DTree-Regression |
| Model | Discription |
|---|---|
| LR-Direct | The Linear Regression script using the direct method, and hours as input and grades as response. |
| LR-Direct-Polynomial | The Linear Regression script using the direct method and a polynomial model. |
| LR-Direct-Many | The Linear Regression script using using the direct method and many feature-variables as input. |
| LR-SGD | The Linear Regression script using Stochastic Gradient Descent. |
| KMeans-Blobs | The K-Means method applied on 2D Blob-points. |
| KMeans-Moons | The K-Means method applied on 2D Moon-points. |
| Gaussian-3D | The plot of Gaussian densities: 3D and level sets. |
| Gaussian-Sampling | Sampling from a Gaussian density. |
| PCA-2D | Example of PCA on 2D points. |
| PCA-Reduction | Dimensionality reduction applied on 2D points, from 2D to 1D. |
| PCA-Noise | Sampling from a Gaussian density. |
| PCA-Handwriting | Example of dimensionality reduction on the dataset ’Handwriting’. |
| PCA-Eigenfaces | Showing eigenfaces via Python and PCA. |
| KNN-Iris | The K-Nearest Neighbor method applied on the Iris dataset. |
| KNN-Iris-K | The K-Nearest Neighbor method applied on the Iris dataset and using multiple values for K. |
| KNN-MNIST | The K-Nearest Neighbor method applied on the MNIST dataset. |
| Image-Handling | Load, handle and show images using OpenCV. |
| LogisticR-Simple | Logistic Regression method applied on the Social Networks Ads dataset. |
| LogisticR-Exploratory | Logistic Regression method applied on the Credit Card dataset. |
| DTree-Classification | Decision Tree method for classification of instances in a dataset. |
| DTree-Regression | Example of Decision Tree method for simple regression. |