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Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

Achievements

Achievement: YOLOAchievement: Pull Sharkx2Achievement: Quickdraw

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Amir-Voloshin/README.md

Hi there 👋

My experience and interests lie in computer vision, data science, machine learning, and deep learning. My focus lies in leveraging these technologies to solve real-world problems and drive transformative projects. I'm open to connecting and collaborating with professionals in the fields of AI, computer vision, and data science. My aim is to exchange knowledge, build networks, and engage in collaborative efforts that push the boundaries of innovation and create impactful solutions.

Contact: [email protected], Linkedin

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  1. DynamicEarlyExit DynamicEarlyExit Public

    Python 1

  2. lumber-quality-CV lumber-quality-CV Public

    This project leverages computer vision to automate the monitoring of wood quality and operator efficiency in lumber production. By training a model on annotated images, it accurately detects and cl…

    Jupyter Notebook

  3. 2020-Election 2020-Election Public

    Deployed several machine learning models on census data to predict the 2020 Presidential Election results. Models and techniques include Support Vector Machine, Logistics Regression, PCA, etc.

  4. Coffee-Stock-TimeSeriesAnalysis Coffee-Stock-TimeSeriesAnalysis Public

    Predicting Coffee Stock Price through Time Series Analysis

    HTML

  5. Voter-turnout Voter-turnout Public

    Analyzing factors which affect voter turnout for the 2020 election utilizing PySpark, Hadoop, and Google Cloud Computing.

  6. Happinnes-COVID19-Analysis Happinnes-COVID19-Analysis Public

    An Analysis of Happiness Pre and Post-COVID-19

    Jupyter Notebook