Startup-Business-Profit-Prediction-Deployment

• This repository consists of files required for end to end implementation of Startup Business Profit Prediction Machine Learning Web App created with Flask on Heroku platform.

Problem statement:

A ML project with EDA and model that helps in predicting the startup business profit in New York, California and Florida.

Dataset

You can find the dataset here.

Dependencies:

• Python
• Scikit-Learn
• Pandas
• Numpy
• Matplotlib
• Seaborn
• Flask

setup

To create a project from scratch use following steps - -

• Clone the repository : https://github.com/ni3choudhary/Startup-Business-Profit-Prediction-Deployment.git
• Inside the project root directory, Create Python Virtual Environment using below command.

$ python3 -m venv env

Activate Virtual Environment

$ .env/bin/activate 
          OR
$ .\env\Scripts\activate

Install Libraries using below command

$ pip install -r requirements.txt

• Run jupyter notebook to get the pickle files

• Copy both pickle files and create a folder models inside flask-app directory and paste both the pickle files.

• Inside the flask-app directory run app.py on terminal to start local server.

$ python app.py

• If you want to view the deployed model, click on the following link: Deployed at: https://start-up-app-profit-prediction.herokuapp.com/

• Please do ⭐ the repository, if it helped you in anyway.