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Fraud Detection with Python, TensorFlow and Linear Regression

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 w...

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  • English

Course Description

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 code that mimics certain tasks. You can use AI to predict trends like the stock market. Automating tasks has exploded in popularity since Te...

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 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!

What you’ll learn
  • learn how to use Artificial Intelligence (AI) for automation
  • interweave theory with practical examples
  • You can use AI to predict trends like the stock market.
  • cover coding in Python, working with TensorFlow, and analyzing credit card fraud.

Covering Topics

1
Section 1 : Introduction
2
Section 2 : Python Basics
3
Section 3 : TensorFlow Basics
4
Section 4 : Fraud Detection (Credit Card)

Curriculum

      Section 1 : Introduction
1
What is Python Artificial Intelligence?
      Section 2 : Python Basics
2
Installing Python and Pycharm
3
How to use Pycharm
4
Intro and Variables
5
Multi-value Variables Preview
6
Control Flow
7
Functions
8
Classes and Wrap Up
      Section 3 : TensorFlow Basics
9
Intro and Set up Preview
10
What is TensorFlow
11
Constant and Operation Nodes
12
Placeholder Nodes
13
Variable Nodes
14
How to Create Regression Model
15
Building Linear Regression
      Section 4 : Fraud Detection (Credit Card)
16
Introduction
17
Project Overview Preview
18
Introducing Dataset
19
Building Training - Testing Datasets
20
Eliminating Datasets Bias
21
Building the Computational Graph
22
Building Functions to Connect Graph
23
Training the Model
24
Testing Model

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