Building, Training, and Validating Models in Microsoft Azure

Posted in: Tutorials | By: mitsumi | 7-10-2020, 11:42 | 0 Comments

Building, Training, and Validating Models in Microsoft Azure
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 1 Hour 42M | 258 MB
Genre: eLearning | Language: English

This course gives Microsoft Azure Data Scientists a road map on how to build, train, and validate machine learning models in Azure.

Building machine learning models in Microsoft Azure can appear intimidiating. This course, Building, Training, and Validating Models in Microsoft Azure, will help you decide which model to choose and why by building a model which will try to predict if a flight would be delayed more than 15 mins with given data. First, you will go through a real world problem to see how Azure ML can solve this problem, helping you form a hypothesis on which the model performance can be judged.

Next, you will quickly get Azure ML set up and learn why you need to split data for training and testing the models.

Then, you will explore the dependent and independent variables, which independent variables should be picked, why they should be picked, as well as feature data conversion such as label encoding and feature scaling.

Finally, you will discover which models to choose and why before obtaining the score of the model which will show how we can optimize the model and re-test.

When you are finished with this course, you will be ready to put your own model into production and monitor and retrain that model when necessary.

Buy Premium Account From My Download Links And Get Resumable Support & SUPER Fastest speed

Links are Interchangeable - No Password - Single Extraction

Report Dead Link(s)
0 Votes
Only Registed user can add comment, view hidden links and more, please register now
все шаблоны для dle на сайте шаблоны dle 11.2 скачать