+- Softwarez.Info - Software's World! (https://softwarez.info)
+-- Forum: Library Zone (https://softwarez.info/Forum-Library-Zone)
+--- Forum: Video Tutorials (https://softwarez.info/Forum-Video-Tutorials)
+--- Thread: Build And Deploy Machine Learning App In Cloud With Python (/Thread-Build-And-Deploy-Machine-Learning-App-In-Cloud-With-Python)
Build And Deploy Machine Learning App In Cloud With Python - nieriorefasow63 - 06-28-2023
![[Image: ivz-MCWxq-D2f-Fvw-G9-JKt-A60n1-A049-EYRI.jpg]](https://i.postimg.cc/cHL364wP/ivz-MCWxq-D2f-Fvw-G9-JKt-A60n1-A049-EYRI.jpg)
Build And Deploy Machine Learning App In Cloud With Python
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 3.05 GB | Duration: 6h 18m
Develop and Deploy Machine Learning Web App and Deploy in Python Anywhere Cloud Platform using Python, Flask, Skimage
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
cloud deployement
Python Anywhere cloud
Shell Scripting
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 scratchImage 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 productionWe 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 ?PythonScikit ImageData PreprocessingHOGBase Estimator and TransformerMixInSGD ClassifierCreate and Make Pipeline ModelHyperparameter TuningFlaskHTTP methodsDeploy in PythonAnywhereWe 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 scrach,Anyone who want deploy image classification web app from end to end
HOMEPAGE
DOWNLOAD