https://github.com/swamikannan/speed-run-tf2.0

Speed run to model data from the breast cancer dataset in sklearn
https://github.com/swamikannan/speed-run-tf2.0

deep-learning machine-learning tabular-data tensorflow

Last synced: about 1 month ago
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Speed run to model data from the breast cancer dataset in sklearn

• Host: GitHub
• URL: https://github.com/swamikannan/speed-run-tf2.0
• Owner: SwamiKannan
• License: mit
• Created: 2022-09-09T11:40:23.000Z (about 3 years ago)
• Default Branch: main
• Last Pushed: 2022-10-25T15:00:19.000Z (almost 3 years ago)
• Last Synced: 2025-01-14T02:47:21.256Z (9 months ago)
• Topics: deep-learning, machine-learning, tabular-data, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 105 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: license.md

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README

          
# Speed-run-TF2.0 - Breast Cancer Detection

![cover image](cover.jpg)

It had been a long time since I worked on models using TensorFlow 2.0. I thought the best way to get back into TF was to do a speed run on the breast cancer dataset in sklearn.datasets. It is a tabular dataset. Next step - Detection of tumors through images

## Key stats:

### Time for: 

 EDA + preprocessing + modelling  9.46 minutes 


 Till model training 10.15 minutes


 Till model evaluation  13.76 minutes