sernur Goto Github PK

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

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.

mstat-project

This is the project for my master degree in statistics.

nih-chest-xray

This repository is for NIH Chest X-RAY Analysis from scratch

optimization

I am using Newton's method, Gradient descent and autograd to show the local minima of the given function.

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.

prestige-data-assignment

We will be analyzing nested models according to their p-values using prestige data.

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 ;)

probability_stats_interveiw_questions

In this repository, I will try to solve interview questions that are mostly about probability theory and stats.

statistics-projects

This repository includes some small projects I have done during statistics classes.

the-incredible-pytorch

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.