In this repository I have collected various machine learning algorithms and recreated them from scratch using python and numpy. By doing so I have further increased my knowledge in the subject and improved my understanding of the mathematics behind machine learning. The repository is categorised into the following categories:

Supervised Learning

• Regression
• Classification

Unsupervised Learning

• Clustering
• Dimensionality Reduction
• Association Rule Learning

Model Optimisation

• Ensemble Methods
• Feature Engineering
• Model Selection and Assessment
• Parameter Optimisation Algorithms

Deep Learning

• Feed Forward Neural Networks
• Convolutional Neural Networks
• Natural Language Processing and Recurrent Neural Networks
• Representation and Generative Learning

Reinforcement Learning

• Genetic Algorithms
• Markov Processes