We may earn an affiliate commission when you visit our partners.
Course image
Course image
Coursera logo

Deploy Bridgerton NLP SMS Text Generator

Emmanuel Acheampong

Welcome to the “Deploy Bridgerton NLP SMS Text Generator” guided project.

Read more

Welcome to the “Deploy Bridgerton NLP SMS Text Generator” guided project.

In this project, we will deploy an NLP text generator model that sends text messages of generated words to a phone number via SMS through a python Streamlit app. The model has been trained on quotes from Netflix's popular tv show "Bridgerton".

This project is an intermediate python project for anyone interested in learning about how to productionize natural language text generator models as a Streamlit app on Heroku and leveraging python modules to send SMS texts.

It requires preliminary knowledge on how to build and train NLP text generator models (as we will not be building or training models), how to utilize Git, and how to leverage multiple Python modules like the email and smtp modules. Learners would also need a Heroku account and some familiarity with the Python Streamlit module.

At the end of this project, learners will have a publicly available Streamlit web app that leverages natural language processing text generation to send generated Bridgerton quotes via SMS to a phone number.

Enroll now

What's inside

Syllabus

Project Overview
This project is an intermediate python project for anyone interested in learning about how to productionize natural language text generator models as a Streamlit app on Heroku and leveraging python modules to send SMS texts. In this project, learners will: 1. Leverage a text generator model trained on the quotes from the Netflix popular show Bridgerton. 2. Build a web application with a UI to interact with text generator model. 3. Deploy the web application to Heroku At the end of this project, learners will have a publicly available Streamlit web app that leverages natural language processing text generation to send generated Bridgerton quotes via SMS to a phone number.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops a text generation model and a web application for sending SMS messages, which are valuable skills in natural language processing
Employs Python modules and Git, exposing learners to industry-standard tools
Teaches how to deploy a Streamlit app on Heroku, a valuable skill for deploying machine learning models
Utilizes quotes from the popular Netflix show "Bridgerton," which may appeal to fans of the show
Requires knowledge of NLP text generator models, Git, and Python modules like email and smtp, which may be challenging for beginners
Focuses on a specific application (SMS text generation) rather than providing a comprehensive foundation in NLP

Save this course

Save Deploy Bridgerton NLP SMS Text Generator to your list so you can find it easily later:
Save

Activities

Coming soon We're preparing activities for Deploy Bridgerton NLP SMS Text Generator. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Deploy Bridgerton NLP SMS Text Generator will develop knowledge and skills that may be useful to these careers:
Natural Language Processing Engineer
As a Natural Language Processing Engineer, you may use your knowledge of natural language processing, machine learning, and software development to build powerful NLP-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
Data Scientist
In your role as a Data Scientist, you can leverage your understanding of natural language processing, probability, statistics, and machine learning to develop powerful data-driven solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
Machine Learning Engineer
As a Machine Learning Engineer, you can leverage your understanding of natural language processing, machine learning, and software development to build powerful ML-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
NLP Developer
As an NLP Developer, you can leverage your understanding of natural language processing, software development, and machine learning to build powerful NLP-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
Software Engineer
As a Software Engineer with a focus on natural language processing, you can leverage your understanding of natural language processing, software development, and machine learning to build powerful NLP-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
Linguist
As a Linguist with a focus on natural language processing, you can leverage your understanding of natural language processing, linguistics, and machine learning to build powerful NLP-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
Technical Writer
As a Technical Writer with a focus on natural language processing, you can leverage your understanding of natural language processing, technical writing, and machine learning to build powerful NLP-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
Content Creator
As a Content Creator with a focus on natural language processing, you can leverage your understanding of natural language processing, content creation, and machine learning to build powerful NLP-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
Digital Marketing Specialist
As a Digital Marketing Specialist with a focus on natural language processing, you can leverage your understanding of natural language processing, digital marketing, and machine learning to build powerful NLP-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
User Experience Designer
As a User Experience Designer with a focus on natural language processing, you can leverage your understanding of natural language processing, user experience design, and machine learning to build powerful NLP-based solutions. This course can help you to develop the skills necessary to work with natural language data, and to build text generators like the one used in this course.
Product Manager
As a Product Manager with a focus on natural language processing, you can leverage your understanding of natural language processing, product management, and machine learning to build powerful NLP-based solutions. This course may help you learn how to leverage text generators like the one created in this course in your role.
Business Analyst
As a Business Analyst with a focus on natural language processing, you can leverage your understanding of natural language processing, business analysis, and machine learning to build powerful NLP-based solutions. This course may help you learn how to leverage text generators like the one created in this course in your role.
Project Manager
As a Project Manager with a focus on natural language processing, you can leverage your understanding of natural language processing, project management, and machine learning to build powerful NLP-based solutions. This course may help you learn how to leverage text generators like the one created in this course in your role.
Consultant
As a Consultant with a focus on natural language processing, you can leverage your understanding of natural language processing, consulting, and machine learning to build powerful NLP-based solutions. This course may help you learn how to leverage text generators like the one created in this course in your role.
Customer Success Manager
As a Customer Success Manager with a focus on natural language processing, you can leverage your understanding of natural language processing, customer success management, and machine learning to build powerful NLP-based solutions. This course may help you learn how to leverage text generators like the one created in this course in your role.

Reading list

We've selected 13 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Deploy Bridgerton NLP SMS Text Generator.
Provides a comprehensive overview of natural language processing (NLP) techniques and algorithms, and it is considered a valuable resource for both beginners and experienced NLP practitioners. It covers a wide range of topics, including text preprocessing, tokenization, stemming, lemmatization, POS tagging, named entity recognition, and sentiment analysis.
Provides a comprehensive overview of NLP techniques and algorithms, and it is suitable for both beginners and experienced NLP practitioners. It covers a wide range of topics, including text preprocessing, tokenization, stemming, lemmatization, POS tagging, named entity recognition, and sentiment analysis.
Provides a comprehensive overview of deep learning techniques for NLP, and it is suitable for both beginners and experienced NLP practitioners. It covers a wide range of topics, including word embeddings, recurrent neural networks, convolutional neural networks, and transformers.
Collection of the eight Bridgerton novels, along with annotations and commentary by the author. It valuable resource for fans of the Bridgerton series who want to learn more about the characters and the world of the books.
Companion to the Bridgerton series, and it provides additional information about the characters, the setting, and the historical context of the books. It valuable resource for fans of the Bridgerton series who want to learn more about the world of the books.
Is the first novel in the Bridgerton series, and it tells the story of Daphne Bridgerton and Simon Basset, the Duke of Hastings. It classic Regency romance novel, and it great introduction to the world of Bridgerton.
Is the third novel in the Bridgerton series, and it tells the story of Benedict Bridgerton and Sophie Beckett. It classic Regency romance novel, and it great read for fans of the Bridgerton series.
Is the fourth novel in the Bridgerton series, and it tells the story of Colin Bridgerton and Penelope Featherington. It classic Regency romance novel, and it great read for fans of the Bridgerton series.
Is the fifth novel in the Bridgerton series, and it tells the story of Eloise Bridgerton and Sir Phillip Crane. It classic Regency romance novel, and it great read for fans of the Bridgerton series.
Is the sixth novel in the Bridgerton series, and it tells the story of Francesca Bridgerton and Michael Stirling. It classic Regency romance novel, and it great read for fans of the Bridgerton series.
Is the seventh novel in the Bridgerton series, and it tells the story of Hyacinth Bridgerton and Gareth St. Clair. It classic Regency romance novel, and it great read for fans of the Bridgerton series.
Is the eighth novel in the Bridgerton series, and it tells the story of Gregory Bridgerton and Hermione Watson. It classic Regency romance novel, and it great read for fans of the Bridgerton series.
Collection of epilogues for each of the eight Bridgerton novels. It provides a glimpse into the lives of the Bridgerton family after the events of the novels.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Deploy Bridgerton NLP SMS Text Generator.
Deploy an NLP Text Generator: Bart Simpson Chalkboard Gag
Most relevant
Deploy A Microsoft Azure Speech To Text Web App
Most relevant
Deploying a Python Data Analytics web app on Heroku
Most relevant
GenAI Summarization with Langchain: Summarize Text...
Most relevant
Building a Keras Horse Zebra CycleGAN Webapp with...
Most relevant
Transfer Learning for NLP with TensorFlow Hub
Most relevant
Data Visualization with ChatGPT: Python for Dashboarding
Most relevant
Machine Learning and NLP Basics
Deploying a Pytorch Computer Vision Model API to Heroku
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2024 OpenCourser