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Ukraine
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Ukraine

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OleksandrKosovan/README.md

Hi there 👋


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image image Google Scholar

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Also, I love contributing to Kaggle as a data scientist because it allows me to continuously learn and improve my skills through real-world challenges and competitions. I have also been fortunate enough to earn a few medals in these competitions and have enjoyed sharing my knowledge and insights through kernel sharing. Participating in Kaggle has been a great way for me to further my development as a data scientist and stay up-to-date with the latest trends in the field.


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  1. predicting-boston-offense predicting-boston-offense Public

    Forked from g5srpc/predicting-boston-offense

    Can we prediction offenses (time, location, probability)? Boston was more violent than New York and Seattle, but less violent than Chicago and Las Vegas, according to numbers from the FBI, based on…

    Jupyter Notebook 2 2

  2. activity-recognition activity-recognition Public

    Activity recognition project. [running, walking, down/up stairs, idle]

    Jupyter Notebook 1

  3. face-mask-detector face-mask-detector Public

    COVID-19: Face Mask Detector with OpenCV, Keras/TensorFlow, and Deep Learning

    Jupyter Notebook

  4. complex-sales-forecasting complex-sales-forecasting Public

    Exploring the efficacy of statistical and econometric methodologies for sales forecasting, this repository provides a comprehensive analysis alongside code implementations, offering empirical insig…

    Jupyter Notebook 2