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| 001 Introduction.en.srt | 3.1 KB | ||
| 1 | 640.5 KB | ||
| 001 Introduction.mp4 | 31.5 MB | ||
| 2 | 308.4 KB | ||
| 002 Installing Python.en.srt | 4.5 KB | ||
| 002 Installing Python.mp4 | 33.9 MB | ||
| 003 Download the Resources.html | 921.6 B | ||
| 003 skimage.zip | 1.2 MB | ||
| 3 | 721.1 KB | ||
| 004 What is Image & Pixels.en.srt | 5.9 KB | ||
| 004 What is Image & Pixels.mp4 | 20.2 MB | ||
| 4 | 943.3 KB | ||
| 5 | 955.4 KB | ||
| 005 Read Image in skimage.en.srt | 5 KB | ||
| 005 Read Image in skimage.mp4 | 28.2 MB | ||
| 006 Split into rgb array.en.srt | 8.9 KB | ||
| 006 Split into rgb array.mp4 | 53 MB | ||
| 6 | 427.2 KB | ||
| 007 Convert image into grayscale.en.srt | 8.9 KB | ||
| 007 Convert image into grayscale.mp4 | 53 MB | ||
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| 008 Image Histogram.en.srt | 6.5 KB | ||
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| 008 Image Histogram.mp4 | 44 MB | ||
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| 009 Histogram Equalization.en.srt | 4.9 KB | ||
| 009 Histogram Equalization.mp4 | 32.6 MB | ||
| 010 Resize Images to any shape.en.srt | 5 KB | ||
| 010 Resize Images to any shape.mp4 | 27.4 MB | ||
| 10 | 900.5 KB | ||
| 011 Download the Resources.html | 1 KB | ||
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| 011 dataprepare-machinelearning-pipeline.zip | 43.8 MB | ||
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| 012 What we will do _.en.srt | 2.6 KB | ||
| 012 What we will do _.mp4 | 12.8 MB | ||
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| 013 Understand the data what we have.en.srt | 2.9 KB | ||
| 013 Understand the data what we have.mp4 | 25.3 MB | ||
| 014 Get all image filename in list in Python.en.srt | 9.9 KB | ||
| 014 Get all image filename in list in Python.mp4 | 57.1 MB | ||
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| 15 | 481.4 KB | ||
| 015 Labeling Images.en.srt | 10.9 KB | ||
| 015 Labeling Images.mp4 | 76 MB | ||
| 016 Read all images from the folders and save in Pickle.mp4 | 50.6 MB | ||
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| 016 Read all images from the folders and save in Pickle.en.srt | 10.3 KB | ||
| 017 Visualize all images and labels.mp4 | 85.8 MB | ||
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| 017 Visualize all images and labels.en.srt | 16 KB | ||
| 018 Import Python libraries and Installations.en.srt | 5.9 KB | ||
| 018 Import Python libraries and Installations.mp4 | 30.3 MB | ||
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| 019 Load the Data and split into train and test set.en.srt | 5.8 KB | ||
| 019 Load the Data and split into train and test set.mp4 | 33.7 MB | ||
| 19 | 358.6 KB | ||
| 020 HOG Feature Extraction.mp4 | 133.2 MB | ||
| 20 | 652.6 KB | ||
| 020 HOG Feature Extraction.en.srt | 17.6 KB | ||
| 021 RGB to Gray Transformer.en.srt | 10.1 KB | ||
| 021 RGB to Gray Transformer.mp4 | 54.4 MB | ||
| 022 HOG Transformer.en.srt | 17.2 KB | ||
| 022 HOG Transformer.mp4 | 104.2 MB | ||
| 23 | 864.1 KB | ||
| 023 Train SGD classifier.en.srt | 16.8 KB | ||
| 023 Train SGD classifier.mp4 | 93.8 MB | ||
| 024 Model Evalution.en.srt | 5.4 KB | ||
| 024 Model Evalution.mp4 | 38.4 MB | ||
| 24 | 417.3 KB | ||
| 025 Pipeline Model.en.srt | 8.4 KB | ||
| 025 Pipeline Model.mp4 | 49.9 MB | ||
| 25 | 393 KB | ||
| 026 Grid Search for Parameter Tuning.en.srt | 15.3 KB | ||
| 026 Grid Search for Parameter Tuning.mp4 | 91.1 MB | ||
| 26 | 131.6 KB | ||
| 027 Best Estimator.en.srt | 7.3 KB | ||
| 027 Best Estimator.mp4 | 42 MB | ||
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| 28 | 983.5 KB | ||
| 028 Train Model and Save in pickle.en.srt | 18.4 KB | ||
| 028 Train Model and Save in pickle.mp4 | 122.1 MB | ||
| 29 | 222.2 KB | ||
| 029 Make pipeline - Get the Prediction.en.srt | 20.3 KB | ||
| 029 Make pipeline - Get the Prediction.mp4 | 140.7 MB | ||
| 30 | 525 KB | ||
| 030 Make pipeline - Decision Function.en.srt | 16.6 KB | ||
| 030 Make pipeline - Decision Function.mp4 | 99.6 MB | ||
| 031 Make pipeline - pipeline model.en.srt | 8 KB | ||
| 031 Make pipeline - pipeline model.mp4 | 58.6 MB | ||
| 032 Download the Resources.html | 921.6 B | ||
| 032 flask-app.zip | 1.7 MB | ||
| 033 Start Flask App.mp4 | 43.5 MB | ||
| 33 | 571.6 KB | ||
| 033 Start Flask App.en.srt | 8.3 KB | ||
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| 034 Download Bootstrap & JQuery.en.srt | 7.2 KB | ||
| 034 Download Bootstrap & JQuery.mp4 | 38.4 MB | ||
| 035 Import Bootstrap 4.en.srt | 3.2 KB | ||
| 035 Import Bootstrap 4.mp4 | 19.1 MB | ||
| 35 | 90.2 KB | ||
| 036 Navigation Bar.en.srt | 9 KB | ||
| 036 Navigation Bar.mp4 | 52.2 MB | ||
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| 37 | 410.4 KB | ||
| 037 Footer.en.srt | 4 KB | ||
| 037 Footer.mp4 | 19.9 MB | ||
| 38 | 478.6 KB | ||
| 038 Inheritance (Layout Page).en.srt | 6.2 KB | ||
| 038 Inheritance (Layout Page).mp4 | 27.6 MB | ||
| 039 File Upload (Http Request).mp4 | 64.5 MB | ||
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| 039 File Upload (Http Request).en.srt | 11.8 KB | ||
| 040 Styling the Page with CSS.en.srt | 11.8 KB | ||
| 040 Styling the Page with CSS.mp4 | 64.5 MB | ||
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| 041 File Upload Backend Operations (Flask).en.srt | 15.6 KB | ||
| 041 File Upload Backend Operations (Flask).mp4 | 104.6 MB | ||
| 042 Integrate Machine Learning Pipeline Model.en.srt | 15.3 KB | ||
| 042 Integrate Machine Learning Pipeline Model.mp4 | 131.3 MB | ||
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| 43 | 413.1 KB | ||
| 043 Send Image from HTML to Server Side.en.srt | 15.3 KB | ||
| 043 Send Image from HTML to Server Side.mp4 | 120.1 MB | ||
| 044 Adjust the image Height and Width Dynamically.en.srt | 7.4 KB | ||
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| 044 Adjust the image Height and Width Dynamically.mp4 | 61.5 MB | ||
| 45 | 719.8 KB | ||
| 045 Styling HTML for the Output.en.srt | 4.3 KB | ||
| 045 Styling HTML for the Output.mp4 | 31.5 MB | ||
| 046 Error Handlers 404, 405, 500.en.srt | 14.1 KB | ||
| 046 Error Handlers 404, 405, 500.mp4 | 131.7 MB | ||
| 46 | 256.5 KB | ||
| 047 About Page & href.en.srt | 6.5 KB | ||
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| 047 About Page & href.mp4 | 55.6 MB | ||
| 048 Create Account in Python Anywhere for Free.mp4 | 51.6 MB | ||
| 48 | 77.8 KB | ||
| 048 Create Account in Python Anywhere for Free.en.srt | 6.9 KB | ||
| 049 Preparing Requirements.en.srt | 6.4 KB | ||
| 049 Preparing Requirements.mp4 | 44.9 MB | ||
| 49 | 970.8 KB | ||
| 050 Upload Flask App in Python Anywhere.mp4 | 29.5 MB | ||
| 50 | 225 KB | ||
| 050 Upload Flask App in Python Anywhere.en.srt | 4.8 KB | ||
| 51 | 352.7 KB | ||
| 051 Installing Requirements.en.srt | 1.5 KB | ||
| 051 Installing Requirements.mp4 | 21.7 MB | ||
| 052 Deploy you Flask App and get access anywhere from the World.en.srt | 10.4 KB | ||
| 052 Deploy you Flask App and get access anywhere from the World.mp4 | 80.6 MB | ||
| 053 Common Error you will get while deploying.en.srt | 5 KB | ||
| 053 Common Error you will get while deploying.mp4 | 43 MB | ||
| 054 Bonus Lecture_ Next Steps.html | 1.6 KB | ||
| TutsNode.com.txt | 102.4 B | ||
| [TGx]Downloaded from torrentgalaxy.to .txt | 614.4 B | ||
| ▲ 157 total files | |||
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 scratch
Anyone who want deploy image classification web app from end to end
Requirements
Basic Python Programming
Understanding HTML, CSS, JS
Last Updated 3/2021
| torrent name | size | uploader | age | seed | leech |
|---|---|---|---|---|---|
| 3.5 GB | freecoursewb | 4 weeks | 1 | 11 | |
| 299.1 MB | freecoursewb | 2 months | 1 | 2 | |
| 1.4 GB | freecoursewb | 4 months | 5 | 2 | |
| 2.3 GB | freecoursewb | 4 months | 0 | 0 | |
| 837.2 MB | freecoursewb | 5 months | 0 | 2 |
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