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brendadenisse16/README.md
  • πŸ‘‹ Hi, I’m Brenda
  • πŸ‘€ Passionate about solving real-world problems using data-driven approaches. Experienced in machine learning, optimization, and data analysis with a strong background in financial, logistics, and transportation applications. Always open to learning new techniques and collaborating on innovative projects.
  • πŸ“« How to reach me [email protected]

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  1. Solving-Discrete-Optimization-Problems-with-Greedy-GRASP-and-Local-Search Solving-Discrete-Optimization-Problems-with-Greedy-GRASP-and-Local-Search Public

    Discrete Optimization

    C 1

  2. Advanced-Reinforcement-Learning-for-Financial-Option-Pricing Advanced-Reinforcement-Learning-for-Financial-Option-Pricing Public

    Implementation of Q-Learning, Double Q-Learning, and LSPI for pricing American options under the Black-Scholes model

    1

  3. From-Scratch-Logistic-Regression-and-Decision-Trees-for-Churn-Prediction From-Scratch-Logistic-Regression-and-Decision-Trees-for-Churn-Prediction Public

    Churn prediction for banking customers using logistic regression and decision trees, implemented from scratch in R.

    R 1

  4. Predicting-Travel-Mode-Choices-with-Logistic-Regression-and-SVM Predicting-Travel-Mode-Choices-with-Logistic-Regression-and-SVM Public

    Machine learning models for travel mode prediction, using logistic regression and SVM on real-world transportation data.

    2