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Buliding projects with Machine Learning
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Buliding projects with Machine Learning
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AdamHorvath12/README.md

🙌 Hello there!

I am Adam Horvath-Reparszky, a proactive Data Scientist at Adaptfy in Amsterdam, who is highly motivated to acquire more real-life aspects of the field. I regularly take part in data science related events and competitions. I am constantly seeking opportunities to sharpen my skills therefore I am an active user of platforms such as Kaggle or MachineRank where I can face different problems and learn from other highly skilled engineers.

Recent competitions that I participated in are the following:

I graduated in 2021 from the University of Amsterdam with a Master of Science degree in Data Science.

My goal is to utilize my knowledge of data science, machine learning and deep learning to solve emerging problems that can have a positive influence on our future. While doing so, I enjoy learning new technologies and tools, and getting to know like-minded, motivated people on the way.

🙏 My Projects

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📈 GitHub Stats

📨 Connect With Me

Popular repositories Loading

  1. Data-Science-Master-Thesis Data-Science-Master-Thesis Public

    Master Thesis of Data Science at University of Amsterdam (2021). Title: Virtual Try-on with Realistic Hair using Occlusion Aware Image Painting Network

    6

  2. Python-Projects Python-Projects Public

    Projects have been created to demonstrate my Python programming skills.

    Python

  3. AdamHorvath12 AdamHorvath12 Public

  4. Heart-Disease-Prediction Heart-Disease-Prediction Public

    The project involves training machine learning models to predict whether someone is suffering from a heart disease. (Heart Disease UCI dataset from Kaggle)

    Jupyter Notebook

  5. Medical-Appointment-No-Shows Medical-Appointment-No-Shows Public

    The project involves training machine learning models and DateTime feature engineering to predict healthcare appointment no-shows. (Medical Appointment No Shows Kaggle Project)

    Jupyter Notebook

  6. NLP_Analysis_of_Tweets NLP_Analysis_of_Tweets Public

    In this project, you’re challenged to build a machine learning model that predicts which Tweets are about real disasters and which one’s aren’t.

    Jupyter Notebook