https://github.com/jimmymugendi/neural-network-for-binary-classification
https://github.com/jimmymugendi/neural-network-for-binary-classification
aws neural-networks numpy pandas sagemaker tensorflow
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/jimmymugendi/neural-network-for-binary-classification
- Owner: Jimmymugendi
- Created: 2024-07-26T09:50:09.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-07-26T09:53:57.000Z (almost 2 years ago)
- Last Synced: 2025-01-16T18:31:50.283Z (over 1 year ago)
- Topics: aws, neural-networks, numpy, pandas, sagemaker, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 4.88 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
For this project, I will create a simple neural network example in an AWS SageMaker notebook. l use a synthetic dataset to predict whether a customer will make a purchase based on two features:
* Website visit duration
* Number of pages visited.
This is a `binary classification problem`, and we'll use a small neural network for quick execution.
## Step 1: Set Up AWS SageMaker Notebook
* Launch a new SageMaker notebook instance.
* Open a new Jupyter notebook in the instance.
* Choose kernel conda_tensorflow2_p310.