Deploy ml model using flask | heroku | server | ML model to API

Video Description

In this video I explain how you can deploy your model on the server and make request by using an API. we are deploying the model on heroku which is totally free platform and we are making our API by using flask module. you can easily install flask module by saying PIP install flask and run this on the terminal. for the purpose of this video I have taken student model which is a linear regression model which predicts the final grade of student based on the previous two grades and number of failures. if you want to check out that video for this link. student grade predictions https://youtu.be/wbnR35TJAD4 you can use this technique to deploy any machine learning model as per as it takes numerical inputs not image data. you can also create an android apps which don't allow to deploy the machine learning model so you can deploy it on server and access it by making the use of API. pre requirements - heroku cli git cli chapters: 0:00 - What we're going to do 0:44 - Setting up files 1:45 - coding basic flask 3:47 - Passing values in URL 4:31 - Accessing values from URL 6:00 - Making predictions 6:50 - Returning JSON 7:20 Setting files for Heroku 8:15 - running git on files 8:45 - Making heroku app 9:39 - Testing 10:23 - (optional) solving app crashed error 11:00 - Thanks ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ FOR CONTACTING ME FOLLOW ANY OF THE LINK ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ contact me : 📞 ----------------------------------------------- facebook : https://m.facebook.com/proogramminghub twitter 🐦 : https://twitter.com/programming_hut github : https://github.com/Pawandeep-prog discord : https://discord.gg/G5Cunyg linkedin : https://www.linkedin.com/in/programminghut youtube ❤️: https://www.youtube.com/c/programminghutofficial ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Thanks for watching. your 1 views means a lot to me. Make sure to Like if you found it helpful. Also don't forget to subscribe for more upcoming videos. tags: ml model to api, convert ml model to api, deploy ml model to server, machine learning model to api, request and response from ml model, ml model, ml, ml projects, dl, heroku, flask api, api using flask, flask tutorial