Automated-ML-Application-for-Exploratory-Data-Analysis-Streamlit-Deployment-Heroku

Heroku App Link : https://streamlitappautomatededa.herokuapp.com/

Table Of Contents

• PROJECT GOAL
• Project Motivation
• Requirements Installation
• File Section
• Technologies Used
• License
• Credits

PROJECT GOAL

This project is designed to Create Automated-ML-Application-for-Exploratory-Data-Analysis-Streamlit-Deployment with Python, streamlit, HTML
A highly comprehensive analysis with all data cleaning, exploration, visualization have been in back end with python and its intention to create it like a NO CODE PLATFORM

Project Motivation

I have been practicing Machine Learning for Past 6 Months, For implementing Regression, Classification and NLP models EXPLORATORY DATA ANALYSIS is must to understand the data. But it will take more time to Write code and to finish EDA, Its TIME CONSUMING, so it motivated me to create a NO CODE WEB APP for EDA

Requirements Installation

The Code is written in Python 3.7. If you don't have Python installed you can find it here. If you are using a lower version of Python you can upgrade using the pip package, ensuring you have the latest version of pip. To install the required packages and libraries, run this command in the project directory after cloning the repository

pip install -r requirements.txt

File Section

App.py

It consists of User Defing Functions To automate The Application

All EDA Analysis have been implemented in back end

Technologies Used

License

CopyRight 2020 DHEERAJ KUMAR

  https://www.gnu.org/licenses/gpl-3.0.en.html

Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.

Credits

PYCARET

STREAMLIT