π Quantitative trade geek and Data Scientist, MSc graduate in data science and statistics from The Hebrew University of Jerusalem.
π My thesis is on Clustering Methods for High-Dimensional Single-Cell Flow and Mass Cytometry Data.
π¬ Feel free to ask me about any of my repos, I love getting messages about my work!
β If my code or my notes helped you, you can buy me a coffee if you'd like
with Professor David Zucker.
The thesis delves into the development of a semi-supervised clustering model from scratch for Single-Cell Flow.
The thesis focuses on proposing a two-layer semi-supervised model
for analyzing flow cytometry datasets.
Based on clustering internal and external evaluation..
Link to the thesis: Link
I have collected all of the detailed notes I wrote during my studies at HebrewU as well as courses.
I studied independently and published them as a part of my goal to make Data Science & statistics topics more accessible to Hebrew speakers.
This collection contains detailed notes in Hebrew on subjects such as Math (Advanced Calculus, Linear Algebra, Probability, Principles and Applications in Statistical Analysis).
Foundations of Computer Science (Data Structures, Algorithms), as well as advanced
Data Science (Machine Learning, Regression and Statistical Models, Statistical Inference and Its Applications,
Nonparametric statistics, Generalized Linear Models)