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  1. Stock-Prediction Stock-Prediction Public

    Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.

    Jupyter Notebook 104 25

  2. Titanic Titanic Public

    Exploration of a subset of the Titanic passenger manifest to create a predictive classification model to determine which passengers were more likely to survive.

    Jupyter Notebook

  3. Boston-Housing Boston-Housing Public

    Investigation of the Boston housing dataset to evaluate, train and test a regression model to predict house prices.

    Jupyter Notebook 1

  4. Document-Metadata-Extract Document-Metadata-Extract Public

    An application to import, iterate over, open, extract metadata and output information for a list of PDF and Excel documents hosted on a website to identify missing metadata fields.

    Python 1

  5. Domain-Checker Domain-Checker Public

    An application to import, iterate over, acquire WHOIS data and perform a DNS lookup for a list of domains. Regular expressions are then used to identify patterns and categorise domain names.

    Python

  6. Django-Blog-App Django-Blog-App Public

    A blogging website application for adding, deleting, editing and viewing blog posts. Additional features and functionality include saving and publishing drafts, user authentication and commenting.

    Python