Predicting Financial Time Series with Tensorflow 2

Offered By
Coursera Project Network
In this Guided Project, you will:

Design and build several types of neural network model, including Dense and LSTM-based networks, to predict time series data as market trends

Utilize a basic moving averages method to identify market trends

Use linear regression to identify market trends

Clock2 hours
IntermediateIntermediate
CloudNo download needed
VideoSplit-screen video
Comment DotsEnglish
LaptopDesktop only

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.

Skills you will develop

TensorflowTime Series

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Learning the Basics of Using Stock Data in Python

  2. Adding Indicators, Cleaning and Normalizing Data

  3. Comparing Stocks - Calculating Correlation Coefficients

  4. Starting with Simple Models

  5. Using Tensorflow

  6. Tensorflow Prediction - Getting It Right

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently asked questions

Frequently Asked Questions

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