[ DevCourseWeb.com ] Project- End to End Machine Learning Web App Deploy in Cloud
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MP4 | h264, 1280x720 | Lang: English | Audio: aac, 44100 Hz | 6h 15m | 2.93 GB
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
Requirements
Basic Python Programming
Understanding HTML, CSS, JS
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.
Use Winrar to Extract. And use a shorter path when extracting, such as C: drive
ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)
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