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canayter/README.md

I'm a data scientist with a background in linguistics, which gives me a unique edge in my work. I love diving into computational linguistics and data analysis - it's where my passion for language meets my skills in tech. After completing Northwestern's Data Science Boot Camp, I've honed my skills in Python, SQL, and NLP.

Machine learning fascinates me, and I enjoy creating visualizations that make complex data easy to understand. I've found that my knack for data visualization, especially with tools like Tableau, helps teams make better decisions based on solid data. Working with diverse teams, often remotely, has taught me a lot about collaboration and communication in tech.

PS - my name is Can. It's Turkish, and it's pronounced pretty much like "Jon" in English.

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  1. MADAIN MADAIN Public

    Forked from AEKoller/MADAIN

    Using TensorFlow and Keras to predict skin cancer from mole images, achieving high accuracy and precision through extensive testing and benchmarking of CNN architectures and optimization techniques.

    Jupyter Notebook

  2. tableau-citi-bike-data-visualization tableau-citi-bike-data-visualization Public

    Aggregating the data found in the Citi Bike Trip History Logs to identify and visualize new phenomena regarding city bike use.

    1

  3. geospatial-visualization-of-volcanic-activity geospatial-visualization-of-volcanic-activity Public

    This project showcases an interactive web-based visualization of global volcanic activity, highlighting the Volcanic Explosivity Index, casualties, and economic impacts. It features dynamic maps wi…

    Jupyter Notebook 3

  4. credit-risk-classification-analysis credit-risk-classification-analysis Public

    A machine learning model using logistic regression to predict loan defaults based on financial data. The purpose of the analysis was to assist in risk assessment and decision-making processes in th…

    Jupyter Notebook 1

  5. wine_and_climate_change wine_and_climate_change Public

    Forked from AEKoller/wine_and_climate_change

    Utilized Pandas for data cleaning and integration to create a high-quality, uniform dataset of global wine production and historical temperature records. Employed SciPy for statistical analysis to …

    Jupyter Notebook

  6. leaflet.js-geographic-data leaflet.js-geographic-data Public

    Developing a visualization of USGS data that allows viewers to look into geographic data structure.

    JavaScript 1