GitHub / Hamim-Hussain / Enhancing-Deep-Learning-Model-Performance
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. Using machine learning and neural networks, you’ll use the features in the provided dataset to create a binary classifier that can predict whether applicants will be successful if funded.
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Language: Jupyter Notebook
Size: 795 KB
Dependencies parsed at: Pending
Created at: almost 2 years ago
Updated at: almost 2 years ago
Pushed at: almost 2 years ago
Last synced at: almost 2 years ago
Topics: activation-functions, data-science, dataframe, deep-learning, get-dummies, hidden-layers, machine-learning, model-optimization, model-training-and-evaluation, neural-network, pandas, predictive-modeling, python