| 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. |
