https://github.com/petrosdemetrakopoulos/spaceship-titanic
My response in the rolling "Spaceship Titanic" Kaggle Competition
https://github.com/petrosdemetrakopoulos/spaceship-titanic
kaggle machine-learning neural-network tensorflow
Last synced: about 1 month ago
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My response in the rolling "Spaceship Titanic" Kaggle Competition
- Host: GitHub
- URL: https://github.com/petrosdemetrakopoulos/spaceship-titanic
- Owner: petrosDemetrakopoulos
- Created: 2022-07-11T17:07:57.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2022-07-11T17:09:04.000Z (almost 3 years ago)
- Last Synced: 2025-01-29T04:01:39.304Z (3 months ago)
- Topics: kaggle, machine-learning, neural-network, tensorflow
- Language: Python
- Homepage:
- Size: 292 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Spaceship Titanic
This is the code for my response in the rolling ["Spaceship Titanic"](https://www.kaggle.com/competitions/spaceship-titanic) Kaggle Competition.
This model reached a maximum of 79% accuracy.
## Frameworks used:
- Pandas
- Tensorflow
- SciKitLearn
## The model
The model consists of a 5 layer Sequential Neural Network (2 hidden dense layers of 128 neurons each).
It was trained with the 'adam' oprimizer