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Predicting Financial Time Series with Tensorflow 2
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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Rating | Not enough ratings |
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Length | 2 weeks |
Effort | 2 hours |
Starts | Jun 28 (149 weeks ago) |
Cost | $9 |
From | Coursera Project Network via Coursera |
Instructor | Charles Ivan Niswander II |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Software Development Machine Learning |
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Rating | Not enough ratings |
---|---|
Length | 2 weeks |
Effort | 2 hours |
Starts | Jun 28 (149 weeks ago) |
Cost | $9 |
From | Coursera Project Network via Coursera |
Instructor | Charles Ivan Niswander II |
Download Videos | On all desktop and mobile devices |
Language | English |
Subjects | Programming Data Science |
Tags | Computer Science Data Science Software Development Machine Learning |
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