mcoffey1129,Martin Coffey,github

👋 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

Martin Coffey's Projects

advanced-recommender-systems

Using Deep AutoEncoders (Pytorch) to predict movie ratings

anomaly-detection

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

clustering

Comparison of K-means and Hierarchical clustering on the penguins dataset

daft.ie_web_scrape

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)

genetic_algorithms

Genetic Algorithms in Python using the tpot package

hyperparameter_tuning

Template code for tuning hyperparameters in Python

lstm_as_a_trading_strategy_for_tesla

Assessing the use of a Long Short Term Memory models (a version of recurring neural networks) as a trading approach for Tesla (please note I do not advice the use of LSTMs as an approach for trading, investing in the market is extremely risky)

mcoffey1129

Config files for my GitHub profile.

pca

Sample code for implementing PCA to reduce the dimensionality of your feature matrix (simple example)

pygame

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

recommender_systems

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