bridgecrew-perf7 Goto Github PK

heroku_deploy_challenge

heroku_deployment-16

heroku_deployment-17

heroku_deployment-18

Creating conda env with 3.8 version

heroku_deployment-19

This is heroku deployment project

heroku_deployment-2

heroku_deployment-20

heroku_deployment-21

heroku_deployment-22

heroku_deployment-23

heroku_deployment-24

heroku_deployment-25

heroku_deployment-3

Deploy a Pet Pals application to Heroku.

heroku_deployment-4

Just testing heroku ci/cd

heroku_deployment-5

heroku_deployment-6

heroku_deployment-7

heroku_deployment-8

heroku_deployment-9

heroku_deployment2

heroku_deployment_1

heroku_deployment_2

heroku_deployment_demo

heroku_deployment_demo-1

heroku_deployment_demo-2

heroku_deployment_diabetes

heroku_deployment_final

heroku_deployment_practice

Practice Project to deploy ML model on Heroku Platform with the help of FLASK framework:- Business Problem/Goal of the ML project: To Determine whether patient has malignant tumor or benign tumor was the semi-automated and lengthy process in practice. The older process leads to manual intervention in result of threats and challenges like bad accuracy, extra time taken, over-wait, over processing, duplicasy of works, waiting time in the cycle. To overcome from these challenges and threats using machine learning technique to create Cancer Detection ML model to classify malignant and benign tumor from the given features.

heroku_deployment_sample_app

Sample app to deploy to heroku

heroku_deployments