https://github.com/hanzopgp/randomkagglesolving
Trying to build models to resolve some interesting Kaggle datasets thanks to deep learning.
https://github.com/hanzopgp/randomkagglesolving
artificial-intelligence deep-learning jupyter-notebook machine-learning matplotlib numpy personal tensorflow
Last synced: 7 months ago
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Trying to build models to resolve some interesting Kaggle datasets thanks to deep learning.
- Host: GitHub
- URL: https://github.com/hanzopgp/randomkagglesolving
- Owner: hanzopgp
- Created: 2021-04-19T00:13:08.000Z (almost 5 years ago)
- Default Branch: master
- Last Pushed: 2021-06-22T12:22:38.000Z (over 4 years ago)
- Last Synced: 2025-03-05T17:24:25.240Z (11 months ago)
- Topics: artificial-intelligence, deep-learning, jupyter-notebook, machine-learning, matplotlib, numpy, personal, tensorflow
- Language: Jupyter Notebook
- Homepage:
- Size: 1.84 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# RandomKaggleSolving
## Presentation

>Building deep learning models using kaggle datasets.
RandomKaggleSolving/
├── notebooks/ (notebooks containing code)
│ ├── mlp/ (multilayer perceptron models)
│ └── cnn-x-mlp/ (convolutional neural x mlp models)
├── datasets/ (some datasets that I could push)
└── README.md
## Subjects (Click on title for dataset link)
### MLP :
1. [Heart attack prediction](https://www.kaggle.com/rashikrahmanpritom/heart-attack-analysis-prediction-dataset)
2. [Stroke prediction](https://www.kaggle.com/fedesoriano/stroke-prediction-dataset)
### CNN x MLP :
1. [Chest X-rays disease classification](https://www.kaggle.com/nih-chest-xrays/data)