使用Python在云中构建和部署机器学习应用程序

使用Python、Flask、Skimage开发和部署机器学习Web应用程序，并部署在Python Anywhere云平台中，欢迎使用scratch在云平台中部署端到端的基于机器学习的图像分类Web App图像处理和分类是数据科学的一个领域，在当前世界的各个行业中有着广泛的应用。许多行业都在寻找具备这些技能的数据科学家。本课程涵盖数据预处理、模型构建、评估、调整和生产的建模技术。我们从学习Scikit Image for image processing开始，这是必要的基本技能，然后我们将对像HOG这样的图像进行必要的预处理技术和特征提取。之后，我们将开始建设项目。在本课程中，您将学习如何使用scikit image和python标记图像、图像数据预处理和分析。然后，我们将训练机器学习。在这里，我们将看到用于图像分类的随机梯度下降分类器，然后是模型评估过程和流水线机器学习模型。之后，我们将通过渲染HTML，CSS，Boostrap在Flask中创建web应用程序。然后，我们最终在云平台Python Anywhere中部署web app。Build And Deploy Machine Learning App In Cloud With Python

你学到了什么？PythonScikit图像数据预处理HOGBase估计器和TransformerMixInSGD分类器创建和制作管道模型超参数调整Flask方法在python中部署我们知道图像分类Flask Web应用程序是那些总是留下一些疑问的主题之一。欢迎在问答中提问，我们很乐意回答你的问题。我超级兴奋，在课程中见到你！！！

语言:英语(美国)|大小:2.69 GB |时长:6小时18分钟

你会学到什么
在Flask中开发和部署机器学习Web应用程序
在Python Anywhere中部署Flask
图像处理与撇除
基于HOG的特征提取
多重图像分类
SGD分类器
流水线模型的超参数调整
基极激励器和变压器混频器
瓶
HTML，CSS
云部署
Python Anywhere云
外壳脚本

要求
基本Python编程
理解HTML，CSS，JS

这门课程是给谁的
任何想从scrach部署机器学习web应用程序的人，任何想从端到端部署图像分类web应用程序的人

Develop and Deploy Machine Learning Web App and Deploy in Python Anywhere Cloud Platform using Python, Flask, Skimage

What you’ll learn
Develop & Deploy Machine Learning Web App in Flask
Deploy Flask in Python Anywhere
Image Processing with SKIMAGE
Feature Extraction with HOG
Multiple Image Classification
SGD Classifier
Hyper parameter tuning with Pipeline Model
Basestimator and Transformermixin
Flask
HTML, CSS
cloud deployement
Python Anywhere cloud
Shell Scripting

Requirements
Basic Python Programming
Understanding HTML, CSS, JS

Description
Welcome to Deploy End to End Machine Learning-based Image Classification Web App in Cloud Platform from scratchImage Processing & classification is one of the areas of Data Science and has a wide variety of applications in the industries in the current world. Many industries looking for a Data Scientist with these skills. This course covers modeling techniques for data preprocessing, model building, evaluation, tuning, and productionWe start the course by learning Scikit Image for image processing which is the essential skill required and then we will do the necessary preprocessing techniques & feature extraction to an image like HOG.After that we will start building the project. In this course you will learn how to label the images, image data preprocessing and analysis using scikit image and python. Then we will train machine learning here we will see Stochastic Gradient Descenct Classifier for image classification and followed by model evaluation proces and pipeline the machine learning model.After that we will create web app in Flask by rendering HTML, CSS, Boostrap. Then, we finally deploy web app in Python Anywhere which is cloud platform.WHAT YOU LEARN ?PythonScikit ImageData PreprocessingHOGBase Estimator and TransformerMixInSGD ClassifierCreate and Make Pipeline ModelHyperparameter TuningFlaskHTTP methodsDeploy in PythonAnywhereWe know that the Image Classification Flask Web App is one of those topics that always leaves some doubts. Feel free to ask question in Q&A, we are happy to answer you question.I am super excited and see you in the course !!!

Who this course is for
Anyone who want deploy machine learning web app from scrach,Anyone who want deploy image classification web app from end to end