bike-sharing

Problem Statement:

Bike sharing systems are a new generation of traditional bike rentals where the whole process from membership, rental and return back has become automatic. Through these systems, users are able to easily rent a bike from a particular position and return back at another position. Currently, there are about over 500 bike-sharing programs around the world which is composed of over 500 thousand bicycles. Today, there exists great interest in these systems due to their important role in traffic, environmental and health issues. Apart from interesting real-world applications of bike sharing systems, the characteristics of data being generated by these systems make them attractive for the research. The goal here is to build an end-to-end regression task. Here the user will provide the data and the result will be given by the best performing hyper tuned Machine Learning model. The user will also get privileges to choose the deployment options.

Machine Learning project.

Software and account Requirement.

1. Github Account
2. Heroku Account
3. VS Code IDE
4. GIT cli
5. GIT Documentation

Creating conda environment

conda create -p venv python==3.7 -y

conda activate venv/

OR

conda activate venv

pip install -r requirements.txt

To Add files to git

git add .

OR

git add <file_name>

Note: To ignore file or folder from git we can write name of file/folder in .gitignore file

To check the git status

git status

To check all version maintained by git

git log

To create version/commit all changes by git

git commit -m "message"

To send version/changes to github

git push origin main

To check remote url

git remote -v

To setup CI/CD pipeline in heroku we need 3 information

1. HEROKU_EMAIL = <>
2. HEROKU_API_KEY = <>
3. HEROKU_APP_NAME = <>

BUILD DOCKER IMAGE

docker build -t <image_name>:<tagname> .

Note: Image name for docker must be lowercase

To list docker image

docker images

To check running container in docker

docker ps

Tos stop docker conatiner

docker stop <container_id>

### deployment link:-


     heroku :- https://bikesharing1.herokuapp.com/
     
     
     AWS:- https://bikesharing123.azurewebsites.net/