https://github.com/yashkathe/heart-failure-binary-classification
Binary classification model using PyTorch to predict heart failure using clinical data.
https://github.com/yashkathe/heart-failure-binary-classification
binary-classifier convolutional-neural-network data-processing heart-failure-prediction pytorch-cnn
Last synced: 11 months ago
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Binary classification model using PyTorch to predict heart failure using clinical data.
- Host: GitHub
- URL: https://github.com/yashkathe/heart-failure-binary-classification
- Owner: yashkathe
- License: mit
- Created: 2024-07-29T11:49:49.000Z (over 1 year ago)
- Default Branch: master
- Last Pushed: 2024-08-01T05:29:59.000Z (over 1 year ago)
- Last Synced: 2025-02-17T00:44:30.961Z (about 1 year ago)
- Topics: binary-classifier, convolutional-neural-network, data-processing, heart-failure-prediction, pytorch-cnn
- Language: Jupyter Notebook
- Homepage:
- Size: 2.44 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: Readme.md
- License: License.md
Awesome Lists containing this project
README
# Classification
A classification algorithm in machine learning is used to categorize data into predefined classes or labels. It learns from training data with known class labels and makes predictions on new, unseen data based on learned patterns. Examples include logistic regression, decision trees, support vector machines, and neural networks. These algorithms output a class label, such as 'spam' or 'not spam,' based on the input features
## Dataset
1. [Kaggle] Heart Failure:
2. [UC Irvine] Heart Failure:
## Table of Content
- [Plotting Sigmoid Function](./sigmoid-function.ipynb)
- [Binary Classify Heart Failure - 8 features - Kaggle Dataset](./classify-heart-failure.ipynb)⭐
- [Binary Classify Heart Failure - 3 features - Kaggle Dataset](./classify-heart-failure-2.ipynb)
- [Binary Classify Heart Failure - 7 features - UCI Dataset](./class-heart-failure-ds-2.ipynb) ⭐
