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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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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