End To Conclusion Machine Learning Project Implementation With Dockers,Github Steps And Deployment

guthub code connection:https://github.com/krishnaik06/bostonhousepricing
In this video we will be implementing an finish to conclude ML task implementation with Dockers And Github Motion
Time stamps:
Comprehension the dataset 00:00:00
Planning Dataset And Basic Evaluation 00:08:14
Making ready Dataset For Product Schooling 00:22:10
Schooling The Product 00:36:54
Effectiveness Metrics 00:52:41
Prediction Of New Data 00:55:33
Pickling the product file 00:59:45
Setting Up Github And VS Code 01:04:40
Resources And Software package Essential 01:12:00
Building A New Setting 01:18:35
Setting up Git 01:26:07
Building A FLASK Net Software 01:39:04
Jogging An Testing our application 01:53:14
Prediction From Entrance Close Software 02:01:08
Procfile for Heroku Deployment 02:11:35
Deploying The App To Heroku 02:16:39
Deploying The Application Using Dockers 02:23:20
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