End to End Image Classification ML Web App Deploy in Cloud. End to end image classification is a process of automatically identifying the content and properties of an image. Classification can be performed on a single image or on a collection of images. Image classification can be used to determine the type of image, the location where the image was taken, and other information about the photo.
The end to end image classification ML web app deploy in cloud provides a platform for users to upload images, perform image classification, and view the results. The web app can be used to classify images from a variety of sources, such as digital cameras, scanners, and photo libraries. The results of the image classification can be displayed in a variety of formats, including text files and graphical representations.
This course is designed to help students learn how to deploy an end-to-end image classification ML web app in the cloud. The course covers topics such as setting up a cloud environment, deploying an ML web app, and using different ML libraries.
- 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
- Hyperparameter tuning with Pipeline Model
- Basestimator and Transformermixin
- HTML, CSS
- cloud deployment
- Python Anywhere cloud
- Shell Scripting
End to End Image Classification ML Web App Deploy in Cloud Course Requirements
- Basic Python Programming
- Understanding HTML, CSS, JS
End to End Image Classification ML Web App Deploy in Cloud Course Description
Welcome to Deploy End to End Machine Learning-based Image Classification Web App in Cloud Platform from scratch
Image Processing and 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 with programming in SKIMAGE which is the essential skill required and then we will do the necessary preprocessing techniques and feature extraction with an image.
Then throughout the course, we will work on the project, providing you with complete training. We will use the powerful functionality built into skimage, sklearn, flask as well as other fundamental libraries such as NumPy, matplotlib, statsmodels.
After that, we will develop the website in Flask and deploy the entire website in Python Anywhere.
With these tools we will master the most widely used models out there:
– Data Preprocessing
– Base Estimator and TransformerMixIn
– SGD Classifier
– Create and Make Pipeline Model
– Hyperparameter Tuning
– HTTP methods
– Deploy in PythonAnywhere
We know that Image Classification Flask Web App is one of those topics that always leaves some doubts.
This course is exactly what you need to comprehend once and for all. Not only that, but you will also get a ton of additional materials – notebooks files, course notes – everything is included.
Who this course is for:
- Anyone who wants to deploy a machine learning web app from scratch
- Anyone who wants to deploy an image classification web app from end to end
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