Welcome to Deploy Finish to Finish Machine Studying-based Picture Classification Web App in Cloud Platform from scratch
Picture Processing & classification is without doubt one of the areas of Knowledge Science and has all kinds of functions in the industries in the present world. Many industries on the lookout for a Knowledge Scientist with these expertise. This course covers modeling strategies for knowledge preprocessing, mannequin constructing, analysis, tuning, and manufacturing
We begin the course by studying Scikit Picture for picture processing which is the important ability required after which we are going to do the required preprocessing strategies & function extraction to a picture like HOG.
After that we’ll begin constructing the undertaking. On this course you’ll discover ways to label the pictures, picture knowledge preprocessing and evaluation using scikit picture and python.
Then we are going to practice machine studying right here we are going to see Stochastic Gradient Descenct Classifier for picture classification and adopted by mannequin analysis proces and pipeline the machine studying mannequin.
After that we’ll create net app in Flask by rendering HTML, CSS, Boostrap. Then, we lastly deploy net app in Python Anyplace which is cloud platform.
WHAT YOU LEARN ?
- Scikit Picture
- Knowledge Preprocessing
- Base Estimator and TransformerMixIn
- SGD Classifier
- Create and Make Pipeline Mannequin
- Hyperparameter Tuning
- HTTP strategies
- Deploy in PythonAnywhere
We all know that the Picture Classification Flask Web App is a type of matters that at all times leaves some doubts. Be happy to ask query in Q&A, we’re blissful to reply you query.
I’m tremendous excited and see you in the course !!!
Who this course is for:
- Anybody who need deploy machine studying net app from scrach
- Anybody who need deploy picture classification net app from finish to finish
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