I will teach you the mathematics behind data science and machine learning

Most people struggle with data science and ML not because algorithms are hard but because the maths underneath them was never properly taught.

I'm Muhammad, hold a dual Master's degree in Mathematical Modelling, completed across two European universities. I've been teaching mathematics for five years.

I work specifically with students and professionals who need to understand the mathematical foundations of data science and machine learning not just follow code, but genuinely understand what's happening and why

What I cover:

Linear Algebra: vectors, matrices, eigenvalues, SVD

Calculus & Optimisation: derivatives, gradients, gradient descent, backpropagation

Mathematics for ML: loss functions, regularisation, the geometry of neural networks

Mathematics for Data Science: dimensionality reduction (PCA), clustering, regression

My approach: in the first session I find out exactly where the gap is, and work from where you actually are. You get clear explanations, feedback, and a plan forward.

This gig is for you if you're:

in a DS or ML and the maths lectures aren't clicking

self-studying and hitting a wall with linear algebra or calculus

want to understand theory behind tools