semvec/pypi-packages huggingface dataset:
Artificial-Neural-Network-Classifier 1.0.22
Artificial Neural Network, is a deep learning API written in Python.
Requires Python: >=3.7

# Artificial Neural Network
![Artificial Neural Network logo](https://raw.githubusercontent.com/somkietacode/Artificial_Neural_Network/main/image/gitban.png)

This repository hosts the development of the Artificial Neural Network library.

## About Artificial Neural Network

Artificial Neural Network, is a deep learning API written in Python.
It was developed with a focus on enabling fast experimentation.
*Being able to go from idea to result as fast as possible is key to doing good research.*

Artificial Neural Network is:

-   **Simple** 
-   **Flexible** 
-   **Powerful** 

## First contact with Artificial Neural Network

The core data structures of Artificial Neural Network are __consign__ and __result__.
It implement four model in two layer neural network for helping you fast build __predictor__.

Here is an `exemple` :

```python
from Artificial_Neural_Network_Classifier import artificialneuralnetwork_classifier
import pandas as pd
import numpy as np

# Reading and cleaning dataset form a CSV file

df = pd.read_csv('admission_data.csv')
df = df.apply(pd.to_numeric, errors='coerce')
df = df.dropna()

# Select X dataset (consign) and convert them in numpy matrix 
x = np.matrix(df[["GRE Score","TOEFL Score","University Rating","SOP","LOR ","CGPA"]].to_numpy() )

# Select Y dataset (response) and convert them in numpy matrix 
y = np.matrix(df[["Research"]].to_numpy())

# Train the model
ANN = artificialneuralnetwork_classifier(x,y)

```

Let make prediction

```python

X = np.matrix([[318,110,3,4,3,8.8] ])
print(Ann.predict(X))

```

It is a binairy classifier. Mean that your response should be 0 or 1. And your dataset response may also be binary.

### Admission data used for this exemple :

GRE  Score	 | TOEFL Score	| University  Rating	| SOP | 	LOR |	CGPA	 | Research
-----------:|---------------:|---------------------:|----:|-------:|--------:|----------
337	| 118| 	4	| 4.5	| 4.5	| 9.65	| 1
324	| 107	| 4	| 4	| 4.5	| 8.87	| 1
316	| 104 | 3	| 3	| 3.5 | 	8	| 1
322	| 110	| 3	| 3.5	| 2.5	| 8.67	| 1
314	| 103	| 2	| 2	| 3	| 8.21	| 0
330	| 115	| 5	| 4.5	| 3	| 9.34	| 1
321	| 109	| 3	| 3	| 4	| 8.2	| 1
308	| 101	| 2	| 3	| 4	| 7.9	| 0
302	| 102	| 1	| 2	| 1.5	| 8	| 0
323	| 108	| 3	| 3.5	| 3	| 8.6	| 0


---
## Support

You can ask questions and join the development discussion:

- [Facebook page](https://www.facebook.com/globalanalysistech) .

---
csv-pg 0.1.0
Import/export CSV files efficiently to/from a Postgresql database.
Requires Python: >=3.7.3
Keywords: csv,pg,postgres,postgresql,copy,load,loader

csv_pg
======

A Python module to import/export CSV files efficiently to/from a Postgresql database.

Key features:
- Detect CSV file dialect automatically
- Create target database table automatically
- Handle localized date/time and decimal formats
- Filter CSV file rows during import


## Usage examples

Installation:

    pip install csv_pg

Import CSV file `tests/samples/misc.csv` to table `misc` (recreate table if already exists):

    python -m csv_pg from_csv tests/samples/misc.csv --recreate

Export table `misc` to CSV file `misc.local.csv` (recreate file if already exists):
    
    python -m csv_pg to_csv misc.local.csv misc --recreate


## Contributors guidelines

Prepare environment:

    # Debian: sudo apt install libpq-dev
    python -m venv .venv       # Debian: python3 -m venv .venv
    .\.venv\Scripts\activate   # Linux: source .venv/bin/activate
    pip install .[dev]

Create test database:

    sudo -u postgres createdb -E UTF8 -l fr_FR.UTF8 -T template0 test_csv_pg

Run tests:

    python -m unittest


## Alternatives / inspirations

- [Pandas](https://apoor.medium.com/quickly-load-csvs-into-postgresql-using-python-and-pandas-9101c274a92f):
    - Have to manually call Postgresql COPY command?

- [Django Postgres Copy](https://github.com/palewire/django-postgres-copy)
    - Depends on Django, and force import to a Django model (cannot simply load to a temporary table)
    - No filter during import?