PIP + Virtual Environment | Flask Deployment | Requirements.txt | Sentiment Analysis | GitHub

Опубликовано: 01 Июнь 2022
на канале: Skillcate AI
4,820
114

Tutorial covers: Deploying a Sentiment Analysis Python App using PIP & Virtual Environment in Flask. You may run this project on your end using our Project GitHub Repo.

This is part-2 of our Sentiment Analysis Project series, in which we are covering the entire ML project journey of: formulating a problem, training ML model, deploying & then testing it in a live environment. In this part-2, we are deploying a Machine Learning Model in Flask using PIP & Virtualenv.

Model Building (part-1) of this series is here:    • Sentiment Analysis Machine Learning P...  

We have used Scikit-learn Pipeline for model building, which is a low code magical way of building models.

Happy learning to you! :)


🔥 Sections:

00:00 Introduction & ML Basics
02:45 Plan of Action
06:48 Creating Front-end (HTML Page)
09:00 Creating Back-end (Flask App)
10.58 Virtual Environment
17:38 Running Model in Live Environment
19:26 Container Packaging
24:58 Basics of GitHub

🔥 Resources:

Model Building (Phase-1) of this End-to-End Project:    • Sentiment Analysis Machine Learning P...  
GitHub Repo Link: https://github.com/skillcate/sentimen...

Google Drive Link: https://drive.google.com/drive/folder...

Sentiment Analysis Project based Review Classification Project from Skillcate:    • Sentiment Analysis Project using Mach...  


🔥 Do like, share & subscribe to our channel. Keep in touch:

Email: [email protected]
Website: https://www.skillcate.com
Facebook:   / mlprojects  
Telegram: https://t.me/skillcate


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