SergioSJS / data_science_portfolio

A data science portfolio for academic and learning purpose.

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Data Science Portfolio

Data Analysis and Visualisation

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Other studies

  • Maze Best Path: several state-space search algorithms applied to solve maze problems.
    • A*
    • Uniform Cost Search
    • Best First Search
    • Iterative Deepining Search
    • Depth Limited Search
    • Deep First Search
    • Breadth First Search
  • Keras + MNIST: a simple test with Keras and MNIST to assess impact by varying hyperparans.
  • Adaboost with numpy: Adaboost for categorical data implemented with numpy only.
  • Reinforcement Learning: Some tests with reinforcement learning algorithms, including qlearn, sarsa, lambda sarsa, deep q learning
  • Computational heuristics: Several algorithms of computational heuristics problems.
    • Hill Climbing
    • Iterated Local Search (ILS)
    • Greedy Randomized Adaptive Search Procedure (Grasp)
    • Tabu Search
    • Genetic Algorithm
  • Running IRACE with python

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A data science portfolio for academic and learning purpose.

License:Apache License 2.0


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