Gravitational least squares twin support vector machine based on optimal angle for class imbalance learning
Journal of Applied Mathematics and Computation
Data Science Graduate | Independent Machine Learning Researcher
Mathematics Educator
"Data is not the new oil, it is the new soil: barren without models, blind without code, and fruitless without thought."
I am a passionate Data Science graduate with a strong background in Mathematics education. My research focuses on machine learning algorithms, particularly Twin Support Vector Machines, Deep Learning, and Natural Language Processing applications.
With over 10 years of experience in teaching mathematics, I bridge the gap between theoretical concepts and practical applications, bringing educational insights into data science research.
Thesis: Twin Support Vector Machines for Class Imbalanced Learning
Research papers and academic publications
Journal of Applied Mathematics and Computation
5th National Conference on Iranian Informatics
M.Sc. Thesis, Ferdowsi University of Mashhad
Personal studies and open source contributions for learning
A Python application for automating teaching tasks and classroom management.
Specialized dictionary for Natural Language Processing terminology and concepts.
Mathematics teaching materials, lesson plans, and educational slides for high school.
Personal learning projects and experiments with various technologies and frameworks.
Reflections on teaching methodologies, classroom experiences, and educational insights from 10+ years of teaching mathematics.
Read Education BlogTutorials, research notes, and practical applications of machine learning, data analysis, and NLP techniques.
Read Data Science InsightsDocumentation of personal learning journeys, code experiments, and open source project contributions.
View StudiesBojnord, North Khorasan, Iran