Zahra Taheri's repositories
exercises-understanding-machine-learning
In this repository, you can find my solutions to some exercises of the book "Understanding Machine Learning From Theory to Algorithms" by Shai Shalev-Shwartz and Shai Ben-David.
graph_ml
Course: Graph Machine Learning focuses on the application of machine learning algorithms on graph-structured data. Some of the key topics that are covered in the course include graph representation learning and graph neural networks, algorithms for the world wide web, reasoning over knowledge graphs, and social network analysis.
machine-learning
In this repository, I have written about my experiences in studying Machine learning. Also, I have included the solutions of some Machine learning exercises and my educational projects.
covid-19-project
The main focus of this project is to visualize the spreading of the virus country-wise as well as globally, and to perform Linear regression, Support vector machine, Multilayer perceptron, Ensemble methods, etc., on the COVID-19 data to anticipate the future effects of the pandemic. Moreover, we are going to study the impact of some parameters such as geographic conditions, economic statistics, population statistics, life expectancy, etc., in the prediction of COVID-19 spread.
deep-learning
In this repository, I have written some of my experiences in studying deep learning. Also, I have included some good resources and some of my exercises and educational projects. Furthermore, some good references about graph neural networks (GNNs) have been added.
Awesome-Language-Model-on-Graphs
A curated list of papers and resources based on "Large Language Models on Graphs: A Comprehensive Survey".
funqg
This repository contains codes and data related to the paper "FunQG: Molecular Representation Learning Via Quotient Graphs". A pre-print version of this paper is currently available at
Optimization-For-Data-Science
Course: Optimization for Data Science
tools_tips_data_science
Fundamental and Useful Tools and Tips for Data Science