BB
Great project, very approachable. Touches on all the essentials!

In this hands-on project, we will train a Bidirectional Neural Network and LSTM based deep learning model to detect fake news from a given news corpus. This project could be practically used by any media company to automatically predict whether the circulating news is fake or not. The process could be done automatically without having humans manually review thousands of news related articles. Note: 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.

BB
Great project, very approachable. Touches on all the essentials!
SG
Bit more explanation inside codes was required. Overall great experience.
HM
This guided project is good for practicing the theory involved in NLP and RNNs.
MM
Great practice for important concepts in data science.
GM
Each thing explains in a very simple way. As mention beginner to intermediate level.
HP
Not that good for people new to python and ml, many high level concepts are used in this project!
SG
Instructor Ryan has taken a lot of efforts to explain the topics, Advanced concepts like RNNs and LSTMs are clearly explained. Loved it.
KP
Excellent introduction for AI/ML tools in the detection and analysis of fake news.
KI
This project has boosted my confidence to attempt other NLP related tasks. Well taught! Thank you.
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Did not explain to me that much. There was codes but without the basic knowledge of programming it is very difficult.
instructions are good. but could not download dataset and code. would've been better if that was easily available.
This project has a succint but very good theoretic explanation, combined with a very thorough practical application, from getting the data, cleaning, performing EDA and building the models. The data set per se is also really interesting and relevant.
Great course! Very concise and provides everything needed to complete an LSTM model for fake news detection. Instructor does a great job of explaining concepts and guiding users through all the necessary coding. Some coding skills required but not much. Compute time for model training is very long if using external Jupyter Notebook to follow along.
Great course, not that long but probably you will learn something extraordinary. As a Journalism graduate it is quite unique to stumble into this course since Fake news nowadays are the new thread you need to be skeptical when it comes to fact checking.
Instructor Ryan has taken a lot of efforts to explain the topics, Advanced concepts like RNNs and LSTMs are clearly explained. Loved it.
Very well explained.
This is a follow along project. The instructor goes through the code, which is explained well. He doesn't go over the math so much. This project is enough to go and read into it further yourself and practice on your own projects.
Very good and thorough walkthrough of the notebook. Also appreciate the lecture portion on task 8 and 9 as a bridge to using LSTM after for the modeling. However, I would not categorize this guided project as "Beginner" since it partially assumes knowledge in previous ML courses. But overall, a worth investment to those who plan to learn more about NLP techniques.
This project is very comprehensive and easy to follow. It expertly blends theoretical foundations with hands-on practicality, enabling both beginners and experienced learners to grasp the intricacies of fake news detection using machine learning.
Its an Awesome Guided Project if you really want to understand about basic machine learning project and also about Fake News Detection working. Also How RNN and LSTM differ is somewhat explained in this project.
Thank you so much sir for creating the course. really enjoyed your insights and the explanations were very crisp and clear. Looking forward to get enrolled in one of the other courses or projects offered by you.
Each thing explains in a very simple way. As mention beginner to intermediate level.
Excellent introduction for AI/ML tools in the detection and analysis of fake news.
This guided project is good for practicing the theory involved in NLP and RNNs.
Very useful project, the instructor is very clear in presenting information
Great project, very approachable. Touches on all the essentials!
Great practice for important concepts in data science.
Amazing Course ! Expand my knowledge about NLP
Really fun project with amazing instructor.