- 👋 Hi, I’m @Ogunfool
- 👀 I’m interested in Machine learning, Deep learning, Reinforcement learning applications in Manufacturing, Supply chain optimization, maintenance optimization, Computer Vision, time-series analysis & forecasting and recommender systems.
- 🌱 I am currently learning recommender systems.
- 💞️ I’m looking to collaborate on Reinforcement learning projects for recommender systems, autonomous driving and computer vision.
- 📫 How to reach me - through my email [email protected]
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ConditionBasedMaintenancePlanner_RLApproach
ConditionBasedMaintenancePlanner_RLApproach PublicIt contains a python-based survival analysis model to study the lifetime of machines in a 3-unit flowline production system, The simulation environment to be used with the RL algorithm for maintena…
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EncoderTransformerArchitecture_CMAPPS
EncoderTransformerArchitecture_CMAPPS PublicAn encoder-transformer architecture-based framework for multi-variate time series prediction with a prognostics use case.
Jupyter Notebook 2
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ImprovedResidualSimilarityBasedModels-RULPrediction
ImprovedResidualSimilarityBasedModels-RULPrediction PublicPrognostics Strategies: Residual Similarity-Based Models
Jupyter Notebook 1
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Robust-Multi-class-logistic-regression-with-Python-from-scratch-using-object-oriented-programming.
Robust-Multi-class-logistic-regression-with-Python-from-scratch-using-object-oriented-programming. PublicAn object-oriented programming based multi-class logistic regression algorithm with python (Numpy) - and compared with Scikit learn implementation on MNIST dataset.
Jupyter Notebook
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