Yunus Bagriacik (yunusbagriacik)

yunusbagriacik

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Company:The University of Sheffield

Location:Sheffield, UK

Home Page:https://www.linkedin.com/in/yunus-bagriacik-050536160

Twitter:@ginfted

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Yunus Bagriacik's repositories

Digital-Filters-in-Audio-Signal-Processing

Digital FIR and IIR filters with intelligible Python codes using SciPy.

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Analyse-International-Debt-Statistics

Fundamental SQL queries to analyse countries' debts to the World Bank. Data is attached to the file.

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Analysis-of-the-discovery-of-Handwashing-dataset

In this notebook, we're going to analyse the data that made Semmelweis discover the importance of handwashing. Let's start by looking at the data that made Semmelweis realize that something was wrong with the procedures at Vienna General Hospital.

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Analysis-of-the-Nobel-Prize-dataset-as-of-1900

This project is based on the nobel prize laureates. DataCamp datasets were used for this project.

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Classify-Song-Genres-from-Audio-Data

Hiphop or Rock? My goal is to classify songs as being either 'Hip-Hop' or 'Rock' - all without listening to a single one ourselves

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Data-Analysis-of-Netflix

Netflix dataset has been used in order to investigate whether films last longer or shorter by time.

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Data-Insights-Gained-from-Android-Apps2

Main goal is to determine which apps have highest sentiment score.

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Data-preprocessing-for-automatic-bag-machines

Paper Bag Parameter Optimisation: Data preprocessing for Zenbo machines to complete the side gluing and bottom folding units for paper bags in production station

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Data-Science-with-Python

This repo contains Python basics, importing and cleaning data, data manipulation with pandas, mathematical operations with numpy, visualisations with matplotlib and seaborn, statistical basics (Sampling and Hypothesis testing), exploratory data analysis, preprocessing, supervised and unsupervised learning with scikit-learn, and SQL basics.(TBC...)

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Exploratory-Data-Analysis-of-the-Github-commits

There are lots of commits in the Github. In this project, It will be found that who has had the most influence on its development and who are the experts.

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fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

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KuzeyYeli

This is a repository pattern project that contains WebForm and WCF project which brings products to Datagridview.

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MineSweeper

Simple version of MineSweeper game was created using windows forms

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Supervised-and-unsupervised-learning-on-Fashion-MNIST-dataset

Fashion-MNIST is a dataset of Zalando's article images, with examples shown above. It consists of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes: 0=T-shirt/top; 1=Trouser; 2=Pullover; 3=Dress; 4=Coat; 5=Sandal; 6=Shirt; 7=Sneaker; 8=Bag; 9=Ankle b

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ds_glassdoor_salary_proj

Predicting salary based on the factors that are located in Glassdoor

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Exploring-NYC-Public-School-Test-Result-Scores

Gain insights about SAT scores of NYC public schools.

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Golden-Era-of-Video-Games

In this project, we'll analyze video game critic and user scores as well as sales data for the top 400 video games released since 1977. You'll search for a golden age of video games by identifying release years that users and critics liked best, and you'll explore the business side of gaming by looking at game sales data using SQL

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Predicting-Credit-Card-Approvals

We will build a machine learning model that can predict if an individual's application for a credit card will be accepted .Credit Card Approval dataset from the UCI Machine Learning Repository is used

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QPI-Excel-Data-Integrity

This is an advanced Excel project that aims to provide data integrity and data consistency.

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Transport-for-London-Introductory-SQL-Data-Analysis

Data has been collected from https://data.london.gov.uk/dataset. Here are the some basic SQL queries to analyse transportation data. Enjoy!

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What-and-Where-are-the-World-s-Oldest-Businesses

BusinessFinancing.co.uk researched the oldest company that is still in business in almost every country and compiled the results into a dataset. Let's explore this work to to better understand these historic businesses

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