Assignments Solution for Foundations of Machine Learning course

In this repo assignments which is apart of Foundations of Machine Learning (FML) course or Mathematical of Machine Learning teach by Marc Deisenroth at African Master in Machine Intelligence(AMMI)

The main idea from assignments is to implement Machine Learning algorithm from scratch to give you a good intuition how these methods work and how to develop it.

Assignments:

• Statistics of datasets

• Angles and distances between images

• Orthogonal projections

• Principal component analysis (PCA)

• Linear Regression

• Gaussian processes (GP)

• Sampling

• Gaussian Mixture Models (GMM)

• Logistic Regression

Installing

pip install numpy

pip install scrip

Data-sets

MN Fashon

References

• Course Materials

• Mathimatical of Machine Learning Book

• Marc blog "My four-month sabbatical at AIMS Rwanda"