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Deploy Machine Learning Image processing Flask App in Cloud

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اسم:Deploy Machine Learning Image processing Flask App in Cloud
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Description

Welcome to Deploy End to End Machine Learning-based Image Classification Web App in Cloud Platform from scratch

Image 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 production

We 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 ?

   Python
   Scikit Image
   Data Preprocessing
   HOG
   Base Estimator and TransformerMixIn
   SGD Classifier
   Create and Make Pipeline Model
   Hyperparameter Tuning
   Flask
   HTTP methods
   Deploy in PythonAnywhere

We 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 scratch
   Anyone who want deploy image classification web app from end to end

Requirements

   Basic Python Programming
   Understanding HTML, CSS, JS

Last Updated 4/2021
يوتيوب فيديو:
الفئة:Tutorials
اللغة:English  English
إجمالي حجم:3.00 GB
تجزئة المعلومات:086D950450A23EB8FE9C73CAA9974974F795BC37
وأضاف بها:tutsnode Verified UploaderVIP
تاريخ الإضافة:2021-05-28 13:14:28
سيل مركز:Torrent Verified


تصنيفات:Not Yet Rated (Log in to rate it)


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