Make An Artificial Intelligence Stock Market Prediction App

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This course is designed for those interested to have a better understanding on how artificial intelligence works, by building a stock market prediction app.

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About This CourseBeginner

Do you want to predict the stock market using artificial intelligence? Join us in this course for beginners in automating tasks.

In this course, you learn how to code in Python, calculate linear regression with TensorFlow, and make a stock market prediction app. We interweave theory with practical examples so that you learn by doing.

AI is a code that mimics certain tasks. You can use AI to predict trends like the stock market. Automating tasks has exploded in popularity since TensorFlow became available to the public (like you and me!) AI like TensorFlow is great for automated tasks including facial recognition.

What are the requirements?

  • PyCharm Community Edition 2017.2.3.

What will I learn?

  • Learn how to code in Python, a popular coding language used for websites like YouTube and Instagram.
  • Learn TensorFlow and how to build models of linear regression.
  • Make an app with Python that uses data to predict the stock market.

Who is the target audience?

  • Beginners who want to learn to use Artificial Intelligence.
  • Prior coding experience is helpful.
  • Topics involve intermediate math, so familiarity with university-level math is very helpful.

 

Our Promise to You

By the end of this course, you will have learned how to build a stock market prediction app with artificial intelligence.

30 Day Money Back Guarantee. If you are unsatisfied for any reason, simply contact us and we’ll give you a full refund. No questions asked.

Get started today and learn more about building a stock market prediction app.

Course Curriculum

Course Sections

Course Trailer

What Is Python Artificial Intelligence?

Installing Python And PyCharm

How To Use PyCharm

Intro And Variables

Multi-Value Variables

Control Flow

Functions

Classes And Wrap-up

Source Files

Installing TensorFlow

Intro And Setup

What Is TensorFlow?

Constant And Operation Nodes

Placeholder Nodes

Variable Nodes

How To Create A Linear Regression Model

Building A Linear Regression Model

Source Files

Introduction

Project Overview

Understanding Datasets

Importing And Formatting Data We Want

Calculating Price Differences

Building A Computational Graph

Training A Model

Testing Model Accuracy

Summary And Outro

Source Files

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