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Analyze Customer Reviews with Gemini Using Python Notebooks
Google Cloud Training
Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console. Learn how to use BigQuery Machine Learning with remote models (Gemini AI) to analyze customer reviews using Python Notebooks.
Register for this course and see more details by visiting:
OpenCourser.com/course/m3y5rf/analyze
What's inside
Syllabus
Analyze Customer Reviews with Gemini Using Python Notebooks
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches learners how to analyze customer reviews using remote machine learning models, which extends usability and showcases a practical application
Utilizes Python Notebooks, a widely used tool for data analysis
Taught by Google Cloud Training, reputable for its expertise in cloud computing and machine learning
May require basic knowledge in Python for optimal comprehension
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Save Analyze Customer Reviews with Gemini Using Python Notebooks to your list so you can find it easily later:
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Analyze Customer Reviews with Gemini Using Python Notebooks with these
activities:
Review Python
Show steps
Get a valuable refresher on Python before the start of this course for a more productive experience.
Browse courses on
Python
Show steps
-
Review the core concepts and syntax of Python, including variables, data types, operators, loops, and functions.
-
Complete a series of practice exercises and coding challenges to test your understanding.
Participate in a Study Group
Show steps
Engage with peers to discuss course concepts, share insights, and reinforce your understanding through collaborative learning.
Show steps
-
Join or form a study group with other students enrolled in the course.
-
Meet regularly to review lecture material, work through assignments together, and engage in discussions.
Explore BigQuery Machine Learning
Show steps
Enhance your understanding by following guided tutorials focusing on BigQuery Machine Learning, allowing you to delve deeper into the topic.
Browse courses on
BigQuery Machine Learning
Show steps
-
Identify relevant tutorials that align with the course syllabus.
-
Work through the tutorials, taking notes and experimenting with the code.
Three other activities
Expand to see all activities and additional details
Show all six activities
Create a Data Visualization
Show steps
Reinforce your learning by creating a data visualization related to the customer reviews analyzed in the course.
Browse courses on
Data Visualization
Show steps
-
Choose a relevant dataset and create a visualization using a tool or library of your choice.
-
Analyze the data and present your findings in a clear and concise manner.
Develop a Python Notebook
Show steps
Solidify your skills by developing a Python notebook that implements the techniques covered in the course, demonstrating your understanding of customer review analysis.
Show steps
-
Design and structure your notebook using best practices.
-
Implement data loading, cleaning, and transformation processes.
-
Apply machine learning algorithms to analyze customer reviews.
-
Visualize and interpret the results, extracting meaningful insights.
Contribute to Gemini AI
Show steps
Deepen your knowledge and make a meaningful contribution by exploring and contributing to the open-source Gemini AI project.
Show steps
-
Familiarize yourself with the Gemini AI codebase and documentation.
-
Identify an area where you can contribute based on your skills and interests.
-
Implement your changes or improvements and submit a pull request.
Review Python
Show steps
Get a valuable refresher on Python before the start of this course for a more productive experience.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review the core concepts and syntax of Python, including variables, data types, operators, loops, and functions.
- Complete a series of practice exercises and coding challenges to test your understanding.
Participate in a Study Group
Show steps
Engage with peers to discuss course concepts, share insights, and reinforce your understanding through collaborative learning.
Show steps
Show steps
Show steps
- Join or form a study group with other students enrolled in the course.
- Meet regularly to review lecture material, work through assignments together, and engage in discussions.
Explore BigQuery Machine Learning
Show steps
Enhance your understanding by following guided tutorials focusing on BigQuery Machine Learning, allowing you to delve deeper into the topic.
Browse courses on
BigQuery Machine Learning
Show steps
Show steps
Show steps
- Identify relevant tutorials that align with the course syllabus.
- Work through the tutorials, taking notes and experimenting with the code.
Three other activities
Expand to see all activities and additional details
Show all six activities
Create a Data Visualization
Show steps
Reinforce your learning by creating a data visualization related to the customer reviews analyzed in the course.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a relevant dataset and create a visualization using a tool or library of your choice.
- Analyze the data and present your findings in a clear and concise manner.
Develop a Python Notebook
Show steps
Solidify your skills by developing a Python notebook that implements the techniques covered in the course, demonstrating your understanding of customer review analysis.
Show steps
Show steps
Show steps
- Design and structure your notebook using best practices.
- Implement data loading, cleaning, and transformation processes.
- Apply machine learning algorithms to analyze customer reviews.
- Visualize and interpret the results, extracting meaningful insights.
Contribute to Gemini AI
Show steps
Deepen your knowledge and make a meaningful contribution by exploring and contributing to the open-source Gemini AI project.
Show steps
Show steps
Show steps
- Familiarize yourself with the Gemini AI codebase and documentation.
- Identify an area where you can contribute based on your skills and interests.
- Implement your changes or improvements and submit a pull request.
Career center
Learners who complete Analyze Customer Reviews with Gemini Using Python Notebooks will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/m3y5rf/analyze
Reading list
We haven't picked any books for this reading list yet.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/m3y5rf/analyze
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Effort
90 minutes
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Session
August 7, 2024
- August 19, 2024
Language
English
Good to know
Teaches learners how to analyze customer reviews using remote machine learning models, which extends usability and showcases a practical application
Utilizes Python Notebooks, a widely used tool for data analysis
Taught by Google Cloud Training, reputable for its expertise in cloud computing and machine learning
May require basic knowledge in Python for optimal comprehension
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