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

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 scrach

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

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