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About This Course

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

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 a Credit Card Fraud Detection Model in Python. Learn how to keep your data safe!

What are the requirements?

  • PyCharm Community Edition 2017.2.3

Do you want to learn how to use Artificial Intelligence (AI) for automation? In this course, we cover coding in Python, working with TensorFlow, and analyzing credit card fraud. 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. One farmer used the machine model to pick cucumbers! 

Our Promise to You

By the end of this course, you will have learned how to program fraud detection using Python, TensorFlow, and linear regression.

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 programming with Python, TensorFlow and linear regression for fraud detection.

Course Curriculum

Section 1 - Introduction
Course Trailer 00:00:00
What Is Python Artificial Intelligence? 00:00:00
Section 2 - Python Basics
Installing Python And Pycharm 00:00:00
How To Use Pycharm 00:00:00
Intro And Variables 00:00:00
Multi-Value Variables 00:00:00
Control Flow 00:00:00
Functions 00:00:00
Classes And Wrap Up 00:00:00
Source Files 00:00:00
Section 3 - TensorFlow Basics
Installing TensorFlow 00:00:00
Intro And Set Up 00:00:00
What Is TensorFlow 00:00:00
Constant And Operation Nodes 00:00:00
Placeholder Nodes 00:00:00
Variable Nodes 00:00:00
How To Create Regression Model 00:00:00
Building Linear Regression 00:00:00
Source Files 00:00:00
Section 4 - Fraud Detection (Credit Card)
Introduction 00:00:00
Project Overview 00:00:00
Introducing Dataset 00:00:00
Building Training – Testing Datasets 00:00:00
Eliminating Datasets Bias 00:00:00
Building The Computational Graph 00:00:00
Building Functions To Connect Graph 00:00:00
Training The Model 00:00:00
Testing Model 00:00:00
Source Files 00:00:00
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