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Amit Yadav
Welcome to this project-based course on Basic Sentiment Analysis with TensorFlow. In this project, you will learn the basics of using Keras with TensorFlow as its backend and you will learn to use it to solve a basic sentiment analysis problem. By the end of this 2-hour long project, you will have created, trained, and evaluated a Neural Network model that, after the training, will be able to predict movie reviews as either positive or negative reviews - classifying the sentiment of the review text.
Read more
Welcome to this project-based course on Basic Sentiment Analysis with TensorFlow. In this project, you will learn the basics of using Keras with TensorFlow as its backend and you will learn to use it to solve a basic sentiment analysis problem. By the end of this 2-hour long project, you will have created, trained, and evaluated a Neural Network model that, after the training, will be able to predict movie reviews as either positive or negative reviews - classifying the sentiment of the review text.
Read more
Welcome to this project-based course on Basic Sentiment Analysis with TensorFlow. In this project, you will learn the basics of using Keras with TensorFlow as its backend and you will learn to use it to solve a basic sentiment analysis problem. By the end of this 2-hour long project, you will have created, trained, and evaluated a Neural Network model that, after the training, will be able to predict movie reviews as either positive or negative reviews - classifying the sentiment of the review text.
Notes:
- This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/kx32t0/basic
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What's inside
Syllabus
TensorFlow Beginner: Basic Sentiment Analysis
Welcome to this project-based course on Basic Sentiment Analysis with Keras and TensorFlow. In this project, you will learn the basics of using Keras with TensorFlow as its backend and you will learn to use it to solve a basic sentiment analysis problem. By the end of this 2-hour long project, you will have created, trained, and evaluated a Neural Network model that, after the training, will be able to predict movie reviews as either positive or negative reviews - classifying the sentiment of the review text.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Beginners can build a solid grounding on the subject
Learners can build on existing foundational knowledge
Course provides a solid base for understanding more advanced concepts
Develops core skills in neural networks and sentiment analysis
Learners get hands-on experience with building a sentiment analysis model using TensorFlow
Taught by industry experts Amit Yadav, with recognized experience in the field
Save this course
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Reviews summary
Sentiment analysis with tensorflow
learners say this sentiment analysis course provides a useful guided project that is well-received. Reviewers especially enjoy the instruction, finding it engaging and informative. While learners should have some familiarity with TensorFlow and neural networks, many recommend this course to beginners.
Suitable for those new to sentiment analysis.
"A very very good course for beginners"
"I think this was my first steps towards learning AI"
"fantastic basic tutorial to begin sentiment analysis"
Instruction is clear, organized, and interesting.
"It was nicely instructed and thoroughly explained."
"The instructor is really preparing well for the student to learn."
"The way of explanation is quite interesting"
Assumes some prior knowledge of TensorFlow and neural networks.
"Instructor did really great job to explain the conepts. You need a little bit programming knowledge as a pre-requisite"
"Explanations are good but very brief. Enroll in this project only if you have basic understanding of Tensorflow and Neural Networks"
"Missing some info about the variables, functions, frameworks and tools used."
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 Basic Sentiment Analysis with TensorFlow with these
activities:
Deep Learning with Python
Show steps
This book provides a comprehensive overview of deep learning in Python, and it will give you a solid foundation for the rest of the course.
View
Deep Learning with Python, Second Edition
on Amazon
Show steps
-
Read the book
-
Complete the exercises in the book
-
Use the book as a reference for your own projects
Review Python
Show steps
Getting some Python coding experience will help you understand concepts better and make the course material less daunting when you start.
Browse courses on
Python
Show steps
-
Enroll in an intro Python course or tutorial
-
Complete at least 5 coding exercises
-
Review your old Python code
TensorFlow Tutorial
Show steps
TensorFlow is a powerful library for machine learning, and this tutorial will provide you with a solid foundation for your studies in this course.
Browse courses on
TensorFlow
Show steps
-
Find a TensorFlow tutorial
-
Complete the tutorial
-
Apply what you've learned to a small project
Five other activities
Expand to see all activities and additional details
Show all eight activities
Study Group
Show steps
Joining a study group can help you improve your understanding of the material and prepare for assessments.
Show steps
-
Find a study group
-
Attend the study group meetings
-
Participate in the discussions
Sentiment Analysis Practice
Show steps
Practicing sentiment analysis will help you master the hands-on programming skills required by this course.
Browse courses on
Sentiment Analysis
Show steps
-
Find a dataset of movie reviews
-
Write a Python script to analyze the sentiment of the reviews
-
Evaluate your results
Sentiment Analysis Project
Show steps
Completing this project will test your knowledge of all the key concepts and give you hands-on experience applying them to a real-world problem.
Browse courses on
Sentiment Analysis
Show steps
-
Come up with a research question
-
Design and train a model
-
Evaluate and interpret the results
-
Write a report summarizing your findings
Kaggle Competition
Show steps
Participating in a Kaggle competition is a great way to test your skills and learn from others.
Show steps
-
Find a Kaggle competition
-
Build a model and submit it to the competition
-
Analyze the results and learn from your mistakes
Mentor a Junior Developer
Show steps
Mentoring a junior developer is a great way to solidify your own knowledge and develop leadership skills.
Show steps
-
Find a junior developer to mentor
-
Meet with your mentee regularly
-
Provide guidance and support
Deep Learning with Python
Show steps
This book provides a comprehensive overview of deep learning in Python, and it will give you a solid foundation for the rest of the course.
View
Deep Learning with Python, Second Edition
on Amazon
Show steps
Show steps
Show steps
- Read the book
- Complete the exercises in the book
- Use the book as a reference for your own projects
Review Python
Show steps
Getting some Python coding experience will help you understand concepts better and make the course material less daunting when you start.
Browse courses on
Python
Show steps
Show steps
Show steps
- Enroll in an intro Python course or tutorial
- Complete at least 5 coding exercises
- Review your old Python code
TensorFlow Tutorial
Show steps
TensorFlow is a powerful library for machine learning, and this tutorial will provide you with a solid foundation for your studies in this course.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Find a TensorFlow tutorial
- Complete the tutorial
- Apply what you've learned to a small project
Five other activities
Expand to see all activities and additional details
Show all eight activities
Study Group
Show steps
Joining a study group can help you improve your understanding of the material and prepare for assessments.
Show steps
Show steps
Show steps
- Find a study group
- Attend the study group meetings
- Participate in the discussions
Sentiment Analysis Practice
Show steps
Practicing sentiment analysis will help you master the hands-on programming skills required by this course.
Browse courses on
Sentiment Analysis
Show steps
Show steps
Show steps
- Find a dataset of movie reviews
- Write a Python script to analyze the sentiment of the reviews
- Evaluate your results
Sentiment Analysis Project
Show steps
Completing this project will test your knowledge of all the key concepts and give you hands-on experience applying them to a real-world problem.
Browse courses on
Sentiment Analysis
Show steps
Show steps
Show steps
- Come up with a research question
- Design and train a model
- Evaluate and interpret the results
- Write a report summarizing your findings
Kaggle Competition
Show steps
Participating in a Kaggle competition is a great way to test your skills and learn from others.
Show steps
Show steps
Show steps
- Find a Kaggle competition
- Build a model and submit it to the competition
- Analyze the results and learn from your mistakes
Mentor a Junior Developer
Show steps
Mentoring a junior developer is a great way to solidify your own knowledge and develop leadership skills.
Show steps
Show steps
Show steps
- Find a junior developer to mentor
- Meet with your mentee regularly
- Provide guidance and support
Career center
Learners who complete Basic Sentiment Analysis with TensorFlow will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers develop and deploy machine learning models to solve real-world problems. This course will provide you with a solid foundation in TensorFlow and Keras, which are widely used in the field of machine learning. By gaining hands-on experience in building and training neural network models, you will be well-prepared to enter this exciting and in-demand field.
Data Analyst
Data Analyst
As a Data Analyst, you will collect, clean, and analyze data to help businesses make informed decisions. This course will provide you with the foundational skills in using TensorFlow and Keras, which are essential tools for data analysis. By learning how to build and train neural network models, you will be able to extract meaningful insights from data and identify trends and patterns that can inform decision-making.
Data Scientist
Data Scientist
Data Scientists use their expertise in math, statistics, and programming to extract insights from data. This course will provide you with a strong foundation in using TensorFlow and Keras, which are essential tools for data science. By learning how to build and train neural network models, you will be able to develop data-driven solutions to complex problems.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts use mathematical and statistical models to analyze financial data. This course will provide you with a solid foundation in using TensorFlow and Keras, which are increasingly used in quantitative finance. By gaining hands-on experience in building and training neural network models, you will be able to develop and implement trading strategies and risk management systems.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to provide insights and make predictions. This course will provide you with foundational skills in using TensorFlow and Keras, which are increasingly used in statistics. By gaining hands-on experience in building and training neural network models, you will be able to develop and implement statistical models that can solve complex problems and extract meaningful insights from data.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines to ensure that data is available for analysis. This course will provide you with the foundational skills in using TensorFlow and Keras, which are increasingly used in data engineering. By learning how to build and train neural network models, you will be able to develop and implement data pipelines that can handle large volumes of data and support complex analytics.
Financial Analyst
Financial Analyst
Financial Analysts provide financial advice and guidance to individuals and organizations. This course will provide you with valuable skills in using TensorFlow and Keras, which can be applied to analyze financial data and develop investment strategies. By gaining experience in building and training neural network models, you will be able to make informed decisions about investments and financial planning.
Business Analyst
Business Analyst
Business Analysts help businesses improve their performance by identifying and solving problems. This course will provide you with foundational skills in using TensorFlow and Keras, which can be applied to analyze business data and develop data-driven solutions. By gaining experience in building and training neural network models, you will be able to contribute to the decision-making process and improve business outcomes.
Actuary
Actuary
Actuaries use mathematical and statistical models to assess risk and uncertainty. This course will provide you with a solid foundation in using TensorFlow and Keras, which are increasingly used in actuarial science. By gaining hands-on experience in building and training neural network models, you will be able to develop and implement risk management and insurance pricing models.
Risk Manager
Risk Manager
Risk Managers identify and assess risks to an organization and develop strategies to mitigate those risks. This course will provide you with valuable skills in using TensorFlow and Keras, which can be applied to analyze risk data and develop risk management models. By gaining experience in building and training neural network models, you will be able to make informed decisions about risk management and protect the organization from potential losses.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. This course will provide you with valuable skills in using TensorFlow and Keras, which are increasingly used in software development. By learning how to build and train neural network models, you will be able to enhance the functionality and performance of software applications.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical techniques to improve the efficiency and effectiveness of operations. This course will provide you with foundational skills in using TensorFlow and Keras, which can be applied to analyze operational data and develop data-driven solutions. By gaining experience in building and training neural network models, you will be able to identify and solve operational problems and improve organizational performance.
Market Researcher
Market Researcher
Market Researchers gather and analyze data to understand market trends and consumer behavior. This course will provide you with foundational skills in using TensorFlow and Keras, which can be applied to analyze market data and develop data-driven marketing strategies. By gaining experience in building and training neural network models, you will be able to identify and target potential customers and develop effective marketing campaigns.
Consultant
Consultant
Consultants provide advice and guidance to businesses on a wide range of topics. This course will provide you with foundational skills in using TensorFlow and Keras, which can be applied to analyze business data and develop data-driven solutions. By gaining experience in building and training neural network models, you will be able to help businesses improve their performance and achieve their goals.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. This course will provide you with valuable skills in using TensorFlow and Keras, which can be applied to analyze customer data and develop data-driven product strategies. By gaining experience in building and training neural network models, you will be able to make informed decisions about product features and functionality.
For more career information including salaries, visit:
OpenCourser.com/course/kx32t0/basic
Reading list
We've selected six 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
Basic Sentiment Analysis with TensorFlow.
Introduces the reader to the fundamentals of deep learning using TensorFlow and Keras. It covers topics including neural networks, convolutional neural networks, recurrent neural networks, and more. This book good starting point for anyone interested in learning about deep learning.
Provides a comprehensive overview of natural language processing (NLP). It covers topics such as text preprocessing, tokenization, stemming, lemmatization, parsing, and more. This book good choice for anyone who wants to learn about NLP.
Introduces the reader to machine learning using TensorFlow. It covers topics such as supervised learning, unsupervised learning, and deep learning. This book good choice for anyone who wants to learn about machine learning.
Introduces the reader to deep learning using R and Keras. It covers topics such as neural networks, convolutional neural networks, recurrent neural networks, and more. This book good choice for anyone who wants to learn about deep learning using R.
Provides a comprehensive overview of natural language processing (NLP). It covers topics such as text preprocessing, tokenization, stemming, lemmatization, parsing, and more. This book good choice for anyone who wants to learn about NLP using R.
Introduces the reader to machine learning using R. It covers topics such as supervised learning, unsupervised learning, and deep learning. This book good choice for anyone who wants to learn about machine learning using R.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/kx32t0/basic
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Effort
2 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Amit Yadav
Language
English
Good to know
Beginners can build a solid grounding on the subject
Learners can build on existing foundational knowledge
Course provides a solid base for understanding more advanced concepts
Develops core skills in neural networks and sentiment analysis
Learners get hands-on experience with building a sentiment analysis model using TensorFlow
Taught by industry experts Amit Yadav, with recognized experience in the field
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