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Hi, I'm Adem, working as a Senior Java Developer in a Global Project of NTT DATA ๐Ÿš€ and I'm from Turkey, last year, I was a Master of Science, Computer Science student ๐Ÿ“š @OzyeginUniversity. Beside's engineering/programming๐Ÿ‘จ๐Ÿปโ€๐Ÿ’ป, I enjoy playing the guitar ๐ŸŽธ , singing songs ๐ŸŽ™ , drinking coffee โ˜•๏ธ, eating healthy foods ๐Ÿฅ—, listening to electronic kinds of music for example Daft Punk is my favorite artist ๐ŸŽง traveling โœˆ๏ธ, exploring different places ๐ŸŒ‰, and bodybuilding ๐Ÿ’ช, so going to the fitness๐Ÿ‹๏ธโ€โ™‚๏ธ are my hobbies.

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โœจ Talking about Personal Stuffs:

  • ๐Ÿ‘จ๐Ÿฝโ€๐Ÿ’ป Iโ€™m currently working on something cool ๐Ÿ˜‰
  • ๐Ÿš€ Iโ€™m currently learning some Back-End and Front-End Technologies.
  • ๐Ÿ’ฌ Ask me about anything, I am happy to help.
  • ๐Ÿ“ซ How to reach me: [email protected]

๐Ÿ›  Tech Stack

  • ๐Ÿ”ญ Back-end๏ผš Java Spring Docker Maven

  • ๐Ÿ‘ฏ Front-end๏ผš JavaScript

  • ๐Ÿ› ๏ธ Use-tools๏ผšVS Code Intelli JIDEA Markdown Atom

  • โš™๏ธ Om๏ผšGit Shell Linux GitLab Gitee

  • ๐Ÿ’ป Db๏ผšMongoDB Oracle Mysql Redis

  • ๐ŸŒฑ Learning๏ผšPython php NodeJS CSS3 VUE HTML5

Adem Aldemir's Projects

deep-learning-for-hackers icon deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

devops-roadmap icon devops-roadmap

DevOps methodology & roadmap for a devops developer in 2019. Interesting books to learn new technologies.

fashion-mnist icon fashion-mnist

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

hello-karate icon hello-karate

A Getting Started Guide (GSG) for Karate DSL. This repo shows how to setup your project structure to test your REST application using Karate

machine-learning-from-scratch icon machine-learning-from-scratch

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

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