Yunus Emre YAŞAR (yunuseysr)

yunuseysr

Geek Repo

Company:Software Specialist @vestel-iot

Location:Izmir

Home Page:yunuseysr.github.io

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Yunus Emre YAŞAR's repositories

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ISO-3166-Countries-with-Regional-Codes

ISO 3166-1 country lists merged with their UN Geoscheme regional codes in ready-to-use JSON, XML, CSV data sets

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HackerRank-AtakanKizilyuce

Atakan's HackerRank Solutions

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book-exercise-tasks

This repo is for issues / tasks ONLY. All programming and related exercises for each chapter of 'Programming the Internet of Things' are listed here.

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gaih-data_analyze

Global AI Hub ve EnerjiSA tarafından sağlanan veriye dair her şeyin içerdiği eğitimdir. Eğitim'e erişmek için -> https://globalaihub.com/courses/veri-analizi/?ref=yunusemreyasar

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python-components

This is the source repository for the Programming the Internet of Things - Constrained Device Python code.

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java-components

This is the source repository for the Programming the Internet of Things - Gateway Device Java code.

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PythonDataScienceHandbook

Python Data Science Handbook: full text in Jupyter Notebooks

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Catering-Scheduling-Problem

The project was prepared in the content of Multithread method in Operating Systems course. (in MCBU)

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yunuseysr.github.io

My Personel Web Site

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myprojectecommerce

This dataset contains information about the customer and its location. You can use this dataset to identify unique customers in the order dataset and find the delivery location of orders.

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Cins-Biscuits

Deep Learning is becoming a very popular subset of machine learning due to its high level of performance across many types of data. A great way to use deep learning to classify images is to build a convolutional neural network (CNN). The Tensorflow library in Python makes it pretty simple to build a CNN. The main purpose of this experiment, training biscuits and separate them into two categories. Shape and Type of made in our experiment, we have two shapes of biscuits, round and rectangular. We also have two types as Cocoa Biscuits and Normal (Milky) Biscuits. In our experiment we start with collecting data and labeling after that we classify images and train that with the position (label) argument. So our last stage is Real-time classification images with the open-cv library.

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book-exercise-docs

This repo contains documentation templates you can use to track your progress as you work through each 'Programming the Internet of Things' Lab Module.

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github-readme-streak-stats

🔥 Stay motivated and show off your contribution streak! 🌟 Display your total contributions, current streak, and longest streak on your GitHub profile README

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VeriGorsellestirmeGlobalAIHub

Code samples included in the first Module of the training prepared by Global AI Hub.

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ashishpatel26

ashishpatel26

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zhenye-na

🧝‍♂️

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face-api.js

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

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