This document summarizes a workshop on building machine learning and natural language processing web applications using Python. It discusses the data science workflow, challenges with deploying ML models, and gives a crash course on relevant NLP tools and web frameworks. As a case study, it describes how to build a sentiment analyzer web app using tools like textblob for sentiment analysis and streamlit for the interactive web interface. The workshop aims to teach participants how to take ML models and deploy them as interactive web applications.

1. TEQIP SPONSORED FSD PROGRAMME ON
PYTHON FOR MACHINE LEARNING
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
GOVERNMENT ENGINEERING COLLEGE
SREEKRISHNAPURAM, PALAKKAD

2. Building ML/NLP Web
Apps
Sreejith C

3. Case Study
Sentiment
Analyzer

4. Agenda
Introduction
- Data Science Workflow
- Challenges with ML Models
Tools
- Web Frameworks Crash Course
- NLP Tools Crash Course
Building NLP Web Apps
- Sentiment Analyzer

5. Data Science Workflow
[image source : internet]

6. Data Science Workflow
[image source : internet]

7. Data Science Workflow
[image source : internet]

8. ML Models - Challenges

9. ML Models - Challenges
• How can end user benefit
from your models ?
• How to use models after
building them ?
• Two language problem

10. ML Models - Challenges
• Using ML models as
packages
• Deployment as Web API
• Deployment as Web App

11. Setup Your
Workspace
• Python
• Code Editors
Jupyter Lab / Google Colab
Sublime Text / Pycharm

12. NLP Tools Crash Course
emoji

13. Web Frameworks
• Streamlit is an awesome new tool that
allows engineers to quickly build highly
interactive web applications around their
data, machine learning models, and pretty
much anything.
• It doesn’t require any knowledge of web
development
• it gives you a blazingly fast, iterative, and
interactive development loop.
Crash Course

14. Web Scrapping – BeautifulSoup
Word Cloud Generation – wordcloud
Summary Generation – genism
Sentiment Analysis – textblob
Emoji Generation - emoji
Web App – streamlit

15. Sreejith C
http://in.linkedin.com/in/sreejithc321