The nonprofit foundation Alphabet Soup wants a tool that can help it select the applicants for funding with the best chance of success in their ventures. The goal is to create a Binary Classifier, using the features provided in the dataset that can predict whether applications will be successful, if funded by Alphabet Soup.
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- Jupyter Notebook - deep_learning/AlphabetSoupCharity.ipynb
- Jupyter Notebook with Optimizations - deep_learning/AlphabetSoupCharity_Optimization.ipynb
- Use Google Colab to open the Notebook
- Open "deep_learning/AlphabetSoupCharity_Optimization.ipynb" file using Jupyter Notebook
- Click on 'Cell > Run All' to run
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