Introduction

Introduction#

Hi! My name is Hristo. This is a collection of my study notes (typed and drawn) on SoftUni’s course in Artificial Intelligence. The notes are in English and Bulgarian: I found that translating a phrase helps me better grasp the material. The course had four parts: Math and Statistics, Data Science, Machine Learning, and Deep Learning.

There are undoubtedly inaccuracies, the formatting is also not always pretty. However, I created the book mainly for myself, as a way to combine all information in one document and easily access it online. Below is also a list of my projects so far.

Projects#

Longer, with more research, but older. Done as final-course assignments.

Sumo Bouts Prediction
_images/icons8-sumo-100.png

My ML project - predicting the outcome of a sumo match. In part 1, I explore, preprocess the data, and engineer new features. In part 2, I fit, tune-up, and evaluate various models. part 1 part 2

Predictive Maintenance
_images/icons8-subway-100.png

My data science project - pre-process the data, look for patterns, make hypothesis and test them. Investigation of 2 dataset: 1) machining parts 2) failures on the air production unit of metro trains in Porto, Portugal. part 1 part 2

Principal Component Analysis
_images/icons8-math-book-100.png

My maths project - investigating the maths behind Principal Component Analysis (PCA), including Singular Values Decomposition (SVD). It also apply it to the eigenfaces problem. only part

Mini-projects#

Shorter and succinct, but more recent.

Comparing CNN Architectures
https://github.com/hrstnikolov/2022-deep-learning/blob/main/05-architectures/Comparing%20Architectures.ipynb

Contents#

Contents