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1. PyTorch_LunarLanderEnvOpenAIGym_Dueling_Double_DeepQNetwork PyTorch_LunarLanderEnvOpenAIGym_Dueling_Double_DeepQNetwork Public

   The implementation was organised by class objects for different components of the agent. Namely, classes for buffer memory, defining the Deep Q-Network (DQN), an agent class to perform respective o…

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2. Simulator_Agent_Based_Modelling_Search_and_Pathfinding_Algorithms Simulator_Agent_Based_Modelling_Search_and_Pathfinding_Algorithms Public

   Depth-first search, Breadth-first search and Reinforcement Q-learning in the context of 2D Software Robot Agents. I have created my own simulation environment using Pygame.

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3. Un-supervised-learning-time-series-analysis-on-a-stock-market-dataset-NYSE-NASDAQ-with-Pyth Un-supervised-learning-time-series-analysis-on-a-stock-market-dataset-NYSE-NASDAQ-with-Pyth Public

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4. Random_Forest_Optimisation_on_Credit_Approval_Dataset_with_MATLAB Random_Forest_Optimisation_on_Credit_Approval_Dataset_with_MATLAB Public

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5. Text_File_Counting_Tool_using_CPP Text_File_Counting_Tool_using_CPP Public

   This was my first coursework during my bachelors degree and it was using C++. Required to create a C++ program that performs various counting tasks of a text file. This included counting the number…

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6. NLP_SMS_Text_Spam_Detection NLP_SMS_Text_Spam_Detection Public

   Optimising and comparing performance of a logistic regression model with a single hidden layer neural network.

   Jupyter Notebook