This repository contains projects from the Machine Learning cirriculum at Holberton School.
| Project Title | Project Description |
| math | Learning the math concepts necessary that ML models are built on: Linear Algebra, Calculus, Probability and Statistics |
| supervised_learning | Making use of Tensorflow to create and use supervised learning models |
| unsupervised_learning | Learning the foundations of unsupervised learning |
| reinforcement_learning | Learning the foundations of reinforcement learning, starting with Q-learning, Deep Q-learning, Temporal Difference, and Policy Gradients |