Project- End to End Machine Learning Web App Deploy in Cloud

Develop a Image Classification web app in Python, Flask, Skimage and deploy in Python Anywhere from scratch

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

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.

Course Content

  • Introduction –> 2 lectures • 7min.
  • Skimage –> 8 lectures • 35min.
  • Image Data Preparation –> 7 lectures • 43min.
  • Machine Learning –> 7 lectures • 1hr 9min.
  • Grid Search for Best Hyper parameters –> 3 lectures • 25min.
  • Make Pipeline –> 4 lectures • 50min.
  • Image Classification Web App in Flask –> 16 lectures • 1hr 56min.
  • Deploy Flask in Python Anywhere –> 6 lectures • 30min.
  • Bonus Lecture –> 1 lecture • 1min.

Project- End to End Machine Learning Web App Deploy in Cloud

Requirements

  • Basic Python Programming.
  • Understanding HTML, CSS, JS.

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:

– Python

– Skimage

– 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 Image Classification Flask Web App is one of those topics that always leaves some doubts.

Until now.

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.