sernur
I have a my Ph.D. in mathematics. I am interested in Probability Theory and Statistics.
University of UtahSalt Lake City, Utah
Pinned Repositories
causal-inference-statistics
I believe causality plays central role understanding the data. I will be analyzing causal effects of the treatment/exposure.
Data-Science--Cheat-Sheet
Cheat Sheets
DRP_ML
ds_book_draft
From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Implementing-basic-ML-methods-on-titanic
Here, we implement basic ML methods on titanic dataset.
Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
Least-Squares-and-Alternatives
optimization
I am using Newton's method, Gradient descent and autograd to show the local minima of the given function.
probability_stats_interveiw_questions
In this repository, I will try to solve interview questions that are mostly about probability theory and stats.
sernur's Repositories
sernur/probability_stats_interveiw_questions
In this repository, I will try to solve interview questions that are mostly about probability theory and stats.
sernur/optimization
I am using Newton's method, Gradient descent and autograd to show the local minima of the given function.
sernur/causal-inference-statistics
I believe causality plays central role understanding the data. I will be analyzing causal effects of the treatment/exposure.
sernur/Data-Science--Cheat-Sheet
Cheat Sheets
sernur/DRP_ML
sernur/ds_book_draft
sernur/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
sernur/Implementing-basic-ML-methods-on-titanic
Here, we implement basic ML methods on titanic dataset.
sernur/Learn_Machine_Learning_in_3_Months
This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube
sernur/Least-Squares-and-Alternatives
sernur/machine-learning-with-R
These are the list of topics in machine learning with R. All of topics are applied to small data sets without introduction to explanation of the topics.
sernur/Mstat-Project
This is the project for my master degree in statistics.
sernur/NIH-CHEST-XRAY
This repository is for NIH Chest X-RAY Analysis from scratch
sernur/playing-with-NLP-techniques
This repository includes some NLP techniques. I tried to apply on a different data sets. This is only for learning purposes.
sernur/Prestige-Data-Assignment
We will be analyzing nested models according to their p-values using prestige data.
sernur/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
sernur/Statistics-Projects
This repository includes some small projects I have done during statistics classes.
sernur/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.