## Link to code https://drive.google.com/drive/u/0/folders/1tt_cb5iwNqogcbb94NKGTNhIr_ku53tE ## Links to datasets 1. Kiva Crowdfunding dataset: https://www.kaggle.com/kiva/data-science-for-good-kiva-crowdfunding ## Steps to run the code 1. Install Anaconda https://docs.anaconda.com/anaconda/install/ 2. Install all required Python packages 3. Download the dataset and place in the data/ folder 4. Run Jupyter Server: jupyter notebook 5. A web browser should open. Open the randomized_optimzation_runner.ipynb and run all cells ## Required packages / libraries matplotlib mlrose_hiive numpy pandas seaborn sklearn