IIRF Online > Finance & Accounting > Compliance > Fraud Analytics > Predict fraud with data visualization & predictive modeling!
Predict fraud with data visualization & predictive modeling! by Udemy
Create a credit card fraud detection model! Learn predictive modeling, logistic regression, and regression analysis.
Course Highlights
- 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!
Skills you will learn!
Curriculum
1 Topic
What is Python Artificial Intelligence?
9 Topics
Installing Python and PyCharm
Got a Python problem or question?
How to use PyCharm
Introduction and Variables
Multivalue Variables
Control Flow
Functions
Classes and Wrapup
Source Files
10 Topics
Installing TensorFlow
Introduction and Setup
FAQ: Help with TensorFlow Installation
What is TensorFlow?
Constant and Operation Nodes
Placeholder Nodes
Variable Nodes
How to Create a Regression Model
Building Linear Regression
Source Files
11 Topics
Introduction
New Location to Download Dataset
Project Overview
Introducing a Dataset
Building Training: Testing Datasets
Eliminating Dataset Bias
Building a Computational Graph
Building Functions to Connect Graph
Training the Model
Testing the Model
Source Files
4 Topics
Introduction to Machine Learning Neural Networks
Introduction to Machine Learning
Introduction to Neutral Networks
Introduction to Convolutions
4 Topics
Introduction to the Keras API
Introduction to TensorFlow and Keras
Understanding Keras Syntax
Introduction to Activation Functions
4 Topics
Introduction to Datasets and CIFAR-10
Exploring CIFAR-10 Dataset
Understanding Specific Data Points
Formatting Input Images
4 Topics
Introduction to the Image Classifier Model
Building the Model
Compiling and Training the Model
Gradient Descent and Optimizer
4 Topics
Introduction to Saving and Loading
Saving and Loading Model to H5
Saving Model to Protobuf File
Bonus Summary
5 Topics
Texts Assets: Understand Machine Learning Neural Networks
Texts Assets: Explore the Keras API
Asset Files: Format Datasets and Examine CIFAR-10
Asset Files: Build the Image Classifier Model
Asset Files: Save and Load Trained Models
2 Topics
Bonus Lecture: Get 155 courses!
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