GeorgeMakridis
R&D Researcher at HAF Electronics Depot , Intrested in Machine Learning, Fintech and Quantitative Finance
Pinned Repositories
Cashflow-prediction
This notebook demonstrates in an explanatory way how to predict in a probabilistic way the future outflows and inflows based on historical transactions.
crowd
danaos_only_spark
danaos_posidonia_spark
food_recalls_cybele
forex_news_from_twitter
Trying to find relation between forex-news tweets and a specific price movement based on sentiment analysis
IBM_Attrition
Notebook for kaggle IBM_Attrition dataset
kaggle_two_sigma_reinforcement_learning_approach
My team's approach of implementing reinforcement learning in kaggle two sigma competition
mercedes_kaggle_comp
Baseline for Mercedes competition on kaggle, using a simple genetic algorithm for feature selection.
optimizers
Continuous Genetic Algorithm and Nelder Mead as Optimizers
GeorgeMakridis's Repositories
GeorgeMakridis/forex_news_from_twitter
Trying to find relation between forex-news tweets and a specific price movement based on sentiment analysis
GeorgeMakridis/kaggle_two_sigma_reinforcement_learning_approach
My team's approach of implementing reinforcement learning in kaggle two sigma competition
GeorgeMakridis/Cashflow-prediction
This notebook demonstrates in an explanatory way how to predict in a probabilistic way the future outflows and inflows based on historical transactions.
GeorgeMakridis/mercedes_kaggle_comp
Baseline for Mercedes competition on kaggle, using a simple genetic algorithm for feature selection.
GeorgeMakridis/crowd
GeorgeMakridis/danaos_only_spark
GeorgeMakridis/danaos_posidonia_spark
GeorgeMakridis/food_recalls_cybele
GeorgeMakridis/IBM_Attrition
Notebook for kaggle IBM_Attrition dataset
GeorgeMakridis/optimizers
Continuous Genetic Algorithm and Nelder Mead as Optimizers
GeorgeMakridis/podium
Prediction of Damages in industrial Maritime (PoDiuM)
GeorgeMakridis/podium-api
Prediction of Damages in industrial Maritime (PoDiuM). An API for testing ways of detecting or predicting crosshead bearing defects of vessels main engine
GeorgeMakridis/STAR_XAI_LIBRARY
The main purpose of the XAI component is to deploy an interface that will integrate different Explainable Artificial Intelligence (XAI) algorithms applicable to the project’s pilots and use cases. In that direction, the proposed framework will integrate well-established XAI solutions and models making the appropriate modifications, when required, adding value to STAR-specific pilots. Furthermore, part of the library will be used by the cyber-defence component (or other(s) if requested).