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MCoffey1129/README.md

  • 👋 Hi, I’m Martin Coffey

  • 👀 I’m interested in completing advanced projects in Machine Learning, which include:

    • Creating a model which will successfully out-perform the S&P 500 across multiple time-periods
    • Create a game in python using Pygame
    • Create an unsupervised model capable of solving the above game
    • Implement and deploy a chatbot.
    • Create a model capable of taking advantage of imperfect bookmaker pricing of Premier League fixtures

  • 🧠 I am an AWS Certified Machine Learning Specialist and have recently completed the TensorFlow Developer Professional Certificate

    • I have completed multiple courses on Deep Learning, Natural Language Processing, Computer Vision and other online Machine learning, Data Science and Statistics courses
    • I have a degree in Financial Math, I have just finished a certificate in Data Analytics from University College Dublin (grade received 92%) and am currently enrolled in a MSc in Machine Learning from the University of Limerick (expected grade 85%)

  • 📫 How to reach me : www.linkedin.com/in/martin-coffey-98789b43

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  1. Utilising-Machine-Learning-for-portfolio-selection-with-the-aim-of-out-performing-Benchmark-Indices Utilising-Machine-Learning-for-portfolio-selection-with-the-aim-of-out-performing-Benchmark-Indices Public

    Utilizing Machine Learning for portfolio selection with the aim of out-performing benchmark indices

    Python 3 1

  2. Daft.ie_web_scrape Daft.ie_web_scrape Public

    Python code used to extract property price information on all properties on the Daft.ie website (includes a csv with the results on the 29/06/21)

    Python

  3. Pygame Pygame Public

    Alien Attack, pygame which I created which is similar in nature to Space Invaders

    Python

  4. Recommender_Systems Recommender_Systems Public

    Assessing three recommendation models 1) Apriori model, 2) Collaborative Filtering and 3) Content Based filtering on a subset of the "movielens" dataset

    Python 1

  5. Anomaly-Detection Anomaly-Detection Public

    Using K means clustering and density based clustering method (DBSCAN) to detect mis-labelled data in the Iris dataset

    Python 4

  6. Advanced-Recommender-systems Advanced-Recommender-systems Public

    Using Deep AutoEncoders (Pytorch) to predict movie ratings

    Python