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  • Nairobi, Kenya.

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kinyanjjui/README.md
  • Hello, I’m John Kinyanjui
  • I’m interested in Machine Learning and Artificial Intelligence using Python
  • I’m currently learning implementation of deep learning techniques and cloud platform technologies, specifically GCP and Azure.
  • I’m looking to collaborate on open-source projects to build upon my foundation and create meaningful networks.
  • You can reach me on: LinkedIn

GitHub Streak

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  1. imdbSentiment_xgbSageMaker imdbSentiment_xgbSageMaker Public

    Using Amazon's SageMaker service to construct a random tree model to predict the sentiment of a movie review from the IMDB movie dataset. I will be implementing the XGBoost package provided by Amaz…

    Jupyter Notebook 1 1

  2. Network-Analysis-Outlander-Series Network-Analysis-Outlander-Series Public

    This project analyses all the characters of the Outlander book series by Diana Gabaldon using named entity recognition. It subsequently creates a network graph of the major characters.

    HTML

  3. RESTfulAPIs_wFlask RESTfulAPIs_wFlask Public

    Developing a RESTful API using Flask and Python

    Python

  4. SubsetAnomaly_Detection SubsetAnomaly_Detection Public

    Forked from tanya-akumu2/folktables_scan

    Carrying out anomaly detection in subsets that influenced the predictive bias in an unbiased classification model.

    Jupyter Notebook

  5. BlazingText_SentimentAnalysis BlazingText_SentimentAnalysis Public

    We will predict the helpfulness of Amazon reviews using BlazingText.

    Python

  6. Ethereum-Price-Prediction Ethereum-Price-Prediction Public

    Using Python and Prophet library to predict the closing price of ethereum, given historical data

    Jupyter Notebook