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  • National Technical University of Athens, Dpt. of Electrical and Computer Engineering
  • Athens, Greece
  • in/apostolos-m

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amoustakis/README.md

Hi 👋, I'm Apostolis Moustakis

I work as a Software Engineer at Workable

Coding

amoustakis

  • 👯 I am also passionate about Data Science

  • 💬 Ask me about Python, SQL, Machine Learning

  • 📫 How to reach me apostolisss01@gmail.com

  • ⚡ Fun fact I play tennis 🎾

Connect with me:

apostolos-m

Languages and Tools:

css3 html5 java matlab mysql pandas postgresql python scikit_learn seaborn

amoustakis

 amoustakis

amoustakis

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  1. A-time-travel-project-using-Python A-time-travel-project-using-Python Public

    Sequences of transactions that generate high profit assuming the ability to travel in the past and perform trading on New York’s stock exchange using Python

    Jupyter Notebook 1

  2. Exploratory-Data-Analysis-using-R Exploratory-Data-Analysis-using-R Public

    Exploratory Data Analysis (EDA) with the use of R programming language in the dataset Tetuan City power consumption

    R 1

  3. Job-scheduling-algorithm-subject-to-multiple-constraints Job-scheduling-algorithm-subject-to-multiple-constraints Public

    Scheduling unrelated machines with job splitting, setup resources and sequence dependency: Implementation of Simulated Annealing using Python

    Jupyter Notebook 1

  4. Estimation-of-vital-status-of-cancer-patients-using-Machine-Learning Estimation-of-vital-status-of-cancer-patients-using-Machine-Learning Public

    Estimation of vital status of patients with ovarian cancer using Machine Learning models (K-Nearest-Neighbors, Support Vector Machine, Logistic Regression, Random Forest and XGBoost)

    Jupyter Notebook 1

  5. Relational-Database-Project-using-SQL Relational-Database-Project-using-SQL Public

    Creation of a relational database alongside with the ER diagram, the Relational Model and the Database Diagram. Insertion of data and creation of multiple SQL queries for data retrieval

    TSQL 1

  6. Supervised-and-Unsupervised-Machine-Learning-projects Supervised-and-Unsupervised-Machine-Learning-projects Public

    Supervised Machine Learning (GNB, Knn, LR, MLP & SVM) in the dataset philippines and Unsupervised Machine Learning (k-means, HAC, GMM, DBSCAN, HDBSCAN & SOM) in the datasets wingnut & h2mg_128_90

    Jupyter Notebook 1