Machine Learning Flask Deployment on Microsoft Azure 2021

在本课程中，您将学习如何从头开始在 Microsoft Azure 上使用 Python Flask 部署机器学习模型。最初，我们将使用 Jupyter Notebook 学习整个机器学习管道，包括探索性数据分析。然后出于直觉，我们将训练 6 个机器学习（分类）模型，并保存它们。经过一些测试，我们将为所有 6 个机器学习模型生成一个生产代码来进行预测。

现在黄金讲座开始。我们将从头开始使用 HTML/CSS 开发 Web 应用程序的前端，给出设计结构中发生的事情的端到端想法。然后，我们将使用 Python 在 Flask 上开发后端并将其与我们的前端集成。在系统上对功能齐全的机器学习 Web 应用程序进行一些测试后，我们将继续我们的主要目标，即在 Microsoft Azure 上部署。许多学生面临的问题和服务器问题。不用担心，只需一个简单的技巧，您就不会在 Azure 上遇到任何服务器问题。

因此，无需再浪费任何时间，立即学习课程，并在 2-3 天内以轻松的速度从头开始学习部署。

这是额外的好处，如果不幸部署成功，讲师将始终可以帮助您解决问题。

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 15 lectures (3h 15m) | Size: 1.14 GB

Learn complete end to end Machine Learning Models Deployment using Python Flask Web Application on Microsoft Azure…!

What you’ll learn:
Flask
Deploying Flask WebApp on Azure
Integrating Python ML Model into WebApp

Requirements
Python Programming
Basic Machine Learning (Scikit-Learn)
Free or Paid Microsoft Azure Account

Description
In this course, you will be learning, how to deploy Machine Learning Models using Python Flask on Microsoft Azure from scratch. Initially, we will learn the entire Machine Learning pipeline using Jupyter Notebook including Exploratory Data Analysis. Then for intuition, we will train 6 Machine Learning (Classification) models, and save them. After some tests, we will generate a productional code for prediction for all 6 Machine Learning Models.

Now the golden lectures start. We will develop the Frontend of Web Application using HTML / CSS from scratch, giving an end-to-end idea of what’s happening in the design structure. Then, we will develop the backend on Flask using Python and integrate it with our Frontend. After some tests of a fully functional Machine Learning Web App on the system, we will move ahead to our main goal, Deployment on Microsoft Azure. Where many students face problems and server issues. Don’t worry with one simple trick you won’t face any server issues on Azure.

So without wasting any further minutes, grab your course, and learn deployment from scratch in 2-3 days at an Easy pace.

And here’s the bonus, in the event of unfortunate success in deployment, the instructor will always be available to help you around the issues.

Who this course is for
Python Developers looking for ML Models Deployment
Web Developers looking for integrating ML Models into WebApp
ML Enthusiasts curious about how to deploy models on WebApp
Cloud Enthusiast looking for deploying ML Models or WebApps to Microsoft Azure
Industrial Machine Learning Pipeline