Description

In this repository you can find a sample of some of my codes that I implemented from scratch from the foundations of Machine Learning courses at AMMI. It contains codes on :

1. Distances and angles
2. PCA
3. Projection
4. Statistics of dataset
5. Linear regression
6. Bayesian linear regression
7. Gaussian processes
8. Markov chain Monte carlos(MCMC)
9. Density estimation with Gaussian mixture model
10. Logistic regression

Tools used

Tools and librariesused for development;

• Editor: Jupyter Notebook
• Programming language: Python 3

• Libraries:

  1. numpy
  2. warning
  3. matplotlib
  4. pandas