Introduction to machine learning theory

practice with emphasis on the design and application of learning algorithms.

• 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.

Github Host Link

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Models

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

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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.