- Introduction
- Questions Before Starting Any Project/Software Journey
- Storyboarding
- Finding Data - Where to Find Famous Quotes
- Sentiment Scoring With the NLTK Vader Tool
- Building the Quote Dispensing Engine - Abstracting With Functions
- A Few Good Tools to Design a Web Application
- A Flask primer
- Getting Professional Help - How I Do It With UpWork
- Building Our Quoting Machine on PythonAnywhere - Part 1
- Building Our Quoting Machine on PythonAnywhere - Part 2
- Conclusion
What you'll learn
- Easily create web applications using Python and Flask
- Quickly port your Python ideas to the web
Description
Let's share the wonderful joy of famous quotes to the world with a quoting machine web application that uses natural language sentiment to tailor the right quote for the user.
The class will teach you how to take your Python ideas and extend them to the web into real Web Applications so the world can enjoy your work.
In this class, we will:
develop our ideas in a local Jupyter notebook
gather data (famous quotes)
use the Vader NLP sentiment algorithm
tune our models and dispensing mechanisms locally
design the look and feel
get graphics
extend responsive HTML templates
port to the web using PythonAnywhere
enjoy great quotes in tune with our moods 24/7
Above all, you will understand how you can port your own Python ideas to the web into fully interactive web applications so the world can enjoy your work!
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About the instructors
- 4.41 Calificación
- 51612 Estudiantes
- 11 Cursos
Manuel Amunategui
Data Scientist & Quantitative Developer
Data scientist with over 20-years experience in the tech industry, MAs in Predictive Analytics and International Administration, author of Monetizing Machine Learning and The Little Book of Fundamental Indicators, founder of FastML, reached top 1% on Kaggle and awarded "Competitions Expert" title, taught over 20,000 students on Udemy and VP of Data Science at SpringML.
From consulting in machine learning, healthcare modeling, 6 years on Wall Street in the financial industry, and 4 years at Microsoft, I feel like I’ve seen it all. And this has opened my eyes to the huge gap in educational material on applied data science. Like I say:
"It just ain’t real 'til it reaches your customer’s plate"
I am a startup advisor and available for speaking engagements with companies and schools on topics around building and motivating data science teams, and all things applied to machine learning.
Reach me at [email protected]
Student feedback
Course Rating
Reviews
Nice course. Thank you.
Very good content
Honestly, Your way of teaching is great, I cannot skip and will only listen to what you say. I'm loving the course and will recommend this course to everyone out there.
Thank´s Great and usefull course