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Learner Reviews & Feedback for Predicting Financial Time Series with Tensorflow 2 by Coursera Project Network

10 ratings
3 reviews

About the Course

By the end of this project, you will have learned the essentials of the predicting time series data in Python using Tensorflow 2. Using a variety of Machine Learning techniques, we can mobilize the Python language to magnify our view of an ever-changing market landscape and augment our decision making when it comes to the stock market, the forex (foreign exchange) trading market, product demand, crypto-currency valuation and other life-altering monetary investments. When you finish the project, you'll have a time-series prediction script set up to forecast Forex prices with Tensorflow that you can tweak to your heart's content. This project will provide valuable experience in your Machine Learning and Artificial Intelligence development journey. Strong familiarity with Python is heavily recommended. Experience with Tensorflow and financial markets is a plus. 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....
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1 - 3 of 3 Reviews for Predicting Financial Time Series with Tensorflow 2

By Charles I N I

Feb 16, 2021

Very informative!

By e64c0c21db87cf0c9873f9c41d96191c

Jun 19, 2021

The instructor lethargically fits 15 mins worth of content in a 2 hrs video where he copies paste codes from another notebook which is also full of typos and he has to fix it live (and it's not quick by any means!!).

The content is not generalizable, the timeseries chosen was already stationary and did not require any differencing which is not as common. Also, the LSTM forecst model was chosen to be a single-step and not multi-step. Which is easy and can be found everywhere online.

The instructor also says in the intriduction that you need absolutly no background to do this. the he goes on and uses Autolag Adfuller test, ACF and PACF plots without explaining what they mean and how they should be interpreted. He also uses batch size, window size and other terms related to LSTM and does not explain what they are.

Overall, the content was poor and the presentation was even worse.

By Salvatore T

Feb 23, 2021

I think this course goes way too fast. In a Guided Project one is supposed to code along with the instructor, but this is definitely not the case.