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Machine Learning Algorithms

Implementations of popular machine learning algorithms using Python.

Deep Learning

• Artificial Neural Network

Classification

• Decision Tree
• Logistic Regression
• Random Forest

Clustering

• Gaussian Mixture Model
• K-Means

Regression

• Decision Tree
• Linear Regression
• Random Decision Tree

The artificial neural network is trained and tested on the MNIST dataset.

The classification implementations include a comparison to their sklearn equivalents using the Pima Indians Diabetes dataset.

The clustering implementations are used to segment the RGB values of an image.

The regression algorithm is trained on sklearn’s diabetes dataset.

For the Jupyter Notebooks, you can see the comparison by clicking on the respective algorithm’s link and looking at the notebook. For the python scripts, you can download and run them in your command line.