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  • Patras, Greece
  • 23:33 (UTC +03:00)

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miltiadiss/README.md

Hi 👋, I'm Miltiadis Mantes!

I'm an undergraduate student in the Department of Computer Engineering & Informatics of the Polytechnic Faculty of University of Patras, Greece. Here you can find some of the projects I have committed during my studies.

Connect with me:

miltiades-mantes-6b0791269 miltiadis.mantes _.miltos.__

Languages and Tools:

android bash bootstrap c cplusplus css3 git hadoop html5 java javascript kafka linux matlab mongodb mysql opencv pandas php python pytorch scikit_learn seaborn tensorflow

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  1. Classification-of-abnormal-respiratory-sounds-using-supervised-domain-adaptation Classification-of-abnormal-respiratory-sounds-using-supervised-domain-adaptation Public archive

    My Integrated Master of Science Thesis for CEID, University of Patras with Topic: "Supervised domain adaptation techniques for the classification of abnormal respiratory sounds".

    Jupyter Notebook

  2. Real-time-bike-utilization-prediction-through-Apache-Spark Real-time-bike-utilization-prediction-through-Apache-Spark Public archive

    This project implements a real-time bike-sharing analytics system using Apache Kafka and Apache Spark for data streaming and processing. It integrates live bike-sharing and weather data, performs u…

    Python 1

  3. TSLA-stock-price-prediction TSLA-stock-price-prediction Public

    The 1st project uses daily stock data from AlphaVantage API to predict the next day's TSLA closing price based on past values using Linear and Polynomial Regression with Regularization variances. T…

    Jupyter Notebook 1

  4. Mobile-device-downlink-bitrate-prediction-in-5G-networks Mobile-device-downlink-bitrate-prediction-in-5G-networks Public

    This project involves predicting the downlink bitrate of mobile devices in 5G networks using machine learning (XGBoost Regressor) and deep learning (LSTM model). It includes data preprocessing, tra…

    Jupyter Notebook 3

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