https://github.com/lunchb0ne/basic_classification_network
A Neural Network to perform 0/1 (True or False) classification on a data-set.
https://github.com/lunchb0ne/basic_classification_network
Last synced: 4 months ago
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A Neural Network to perform 0/1 (True or False) classification on a data-set.
- Host: GitHub
- URL: https://github.com/lunchb0ne/basic_classification_network
- Owner: Lunchb0ne
- Created: 2018-12-22T15:52:43.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2018-12-22T16:25:35.000Z (over 6 years ago)
- Last Synced: 2024-12-29T13:47:50.580Z (5 months ago)
- Language: Python
- Size: 3.91 KB
- Stars: 2
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# A Basic Classification NN
A Neural Network to perform 0/1 (True or False) classification on a data-set like the [Pima Indians data-set](https://www.kaggle.com/kumargh/pimaindiansdiabetescsv) for diabetes.
# Setting up:
- Start by Cloning the repo.
- If you have anaconda installed :
- Make sure that everything is up-to-date and numpy is installed
```
conda update --all
conda install numpy
```
- Then install tensorflow via
```python
conda install tensorflow
```
- If you have vanilla python instaled then install tensorflow and numpy via pip:
- Make sure pip is up-to-date
```
pip install --upgrade pip
```
- Then install numpy and tensorflow
```python
pip install numpy
pip install tensorflow
```
If you're going to do any serious machine learning I really recommend installing anaconda and using that method.
- Place your dataset in form of a .csv and rename it to "data.csv" (without the quotes)
- Run the script via
```python
python classification_network.py
```
Enter the dimension of the data when prompted.