deep-learning-challenge: Module 21 Neural Network Assigment

The written analysis for this assignment is located in the Report.md file.

Repo Directory

deep-learning-challenge/
├── .gitignore
├── Dockerfile
├── LICENSE
├── README.md
├── Report.md
├── data/
│   ├── raw/
│   │   └── charity_data.csv
│   └── processed/
│       ├── AlphabetSoupCharity.h5
│       ├── AlphabetSoupCharity_Optimization.h5
│       ├── AlphabetSoupCharity_Optimization_1.h5
│       └── AlphabetSoupCharity_Optimization_2.h5
├── notebooks/
│   ├── test_1.ipynb
│   ├── test_2.ipynb
│   ├── test_3.ipynb
│   └── test_4.ipynb

Docker Setup - I used Docker to create a linux based setup to run Tensorflow. If your system runs Tensorflow without issue, skip the Docker Setup

• See the Dockerfile in repo for setting up the required installs.
• Build the Docker Image: docker build -t your_image_name.
• Run the Docker Container: docker run -d --name your_container_name your_image_name

Jupyter Setup

To get started, you need to import the necessary dependencies. Add the following code to your script:

# Import our dependencies
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.metrics import classification_report
import pandas as pd
import tensorflow as tf
import keras_tuner as kt

References

IRS. Tax Exempt Organization Search Bulk Data Downloads. https://www.irs.gov/Links to an external site.

License

This project is licensed under the terms of the GNU General Public License v3.0. For more details, see the LICENSE file.