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CoViktor/README.md
  • 👋 Hi, I’m Viktor
  • 👀 I’m interested in AI, Data, Sociology, Public health, Critical thinking, People and their stories
  • 🔨 Check out what I've created so far here: repositories
  • 💞️ I’m looking to collaborate on projects that provide learning oportunities on python and ML
  • 📫 How to reach me: linkedin
  • ⚡ Fun fact: I have 3 chickens named Graphite, Curry, and Rebecca and 2 cats named Madeleine and Mila

Some of the Tools I've been working with:

python pandas scikit_learn numpy matplotlib seaborn plotly selenium

mysql postgresql sqlite powerbi tableau spss rstudio mlflow joblib

git fastapi streamlit render

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  1. Moodle_attendance_automation Moodle_attendance_automation Public

    As part of the AI trainee program at BeCode.org, attendance is mandatory and tracked twice each day. To challenge myself and learn more about Selenium, I've automated my attendance logging.

    Python 2

  2. immo-eliza-deployment immo-eliza-deployment Public

    This project was developed as part of my training into machine learning at BeCode. It serves as a practical application of ML model deployment through FastAPI, Render, Docker and Streamlit.

    Python

  3. immo-eliza-scraping-Python_Pricers immo-eliza-scraping-Python_Pricers Public

    Forked from bear-revels/immo-eliza-scraping-Python_Pricers

    becode project #3: group project to scrape and organize real estate data to predict future pricing.

    Python

  4. customer_churn_analysis customer_churn_analysis Public

    Our main priority is to find the optimal classification model to trigger an attrition flag for customers at risk. The tested classification models are: AdaBoost, Decision Tree, Gradient Boost, K N…

    Jupyter Notebook