semvec/pypi-packages huggingface dataset:
flask-notion-database 0.0.1
notion-database flask extension
Requires Python: >=3.9

# flask-notion-database

notion-database flask extension

The flask-notion-database is a Flask extension that allows you to manage routes within your Flask application. 

## Installation

To install the Flask notion-database extension, you can use pip:

```bash
pip install flask-notion-database
```

## Usage

First, import the `NotiondatabaseExtension` from the `flask-notion-database` package:

Then, create an instance of the `NotiondatabaseExtension` and initialize it with your Flask application:

```python
from flask import Flask
from flask_notion_database import NotionDatabaseExtension

NDE = NotionDatabaseExtension()
app = Flask(__name__)
NDE.init_app(app)
```

Now, you can use the notion-database features in your Flask routes.

## Example

run the example.py file to see how the extension works.

http://127.0.0.1:8888/apidocs/#/ will show the swagger documentation of the api.

## License

This project is licensed under the terms of the LGPL license.

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.
ml-pipeline-dashboard 0.1.15
A package for ML Pipeline with Streamlit dashboard

# ML Pipeline

A machine learning pipeline for Exploratory Data Analysis (EDA), data preprocessing, model training, and evaluation. This package helps to quickly analyze datasets, preprocess data, and train models like Random Forest or XGBoost with detailed evaluation metrics.

## Features
-Upload any csv dataset and run ML Pipeline from EDA to Model validation
- Perform EDA and visualize data
- Handle missing values and scale data
- Encode categorical data
- Train Random Forest or XGBoost models
- Evaluate models using F1 score, R², MSE, etc.

## Installation

You can install the package via pip:

```bash
pip install ml_pipeline_dashboard
> launch_ml_pipeline